========================================
Section: Source Files
========================================
========================================
File: "src/mcp/__init__.py"
Size: 2601 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from .client.session import ClientSession
from .client.stdio import StdioServerParameters, stdio_client
from .server.session import ServerSession
from .server.stdio import stdio_server
from .shared.exceptions import McpError
from .types import (
    CallToolRequest,
    ClientCapabilities,
    ClientNotification,
    ClientRequest,
    ClientResult,
    CompleteRequest,
    CreateMessageRequest,
    CreateMessageResult,
    ErrorData,
    GetPromptRequest,
    GetPromptResult,
    Implementation,
    IncludeContext,
    InitializedNotification,
    InitializeRequest,
    InitializeResult,
    JSONRPCError,
    JSONRPCRequest,
    JSONRPCResponse,
    ListPromptsRequest,
    ListPromptsResult,
    ListResourcesRequest,
    ListResourcesResult,
    ListToolsResult,
    LoggingLevel,
    LoggingMessageNotification,
    Notification,
    PingRequest,
    ProgressNotification,
    PromptsCapability,
    ReadResourceRequest,
    ReadResourceResult,
    Resource,
    ResourcesCapability,
    ResourceUpdatedNotification,
    RootsCapability,
    SamplingMessage,
    ServerCapabilities,
    ServerNotification,
    ServerRequest,
    ServerResult,
    SetLevelRequest,
    StopReason,
    SubscribeRequest,
    Tool,
    ToolsCapability,
    UnsubscribeRequest,
)
from .types import (
    Role as SamplingRole,
)

__all__ = [
    "CallToolRequest",
    "ClientCapabilities",
    "ClientNotification",
    "ClientRequest",
    "ClientResult",
    "ClientSession",
    "CreateMessageRequest",
    "CreateMessageResult",
    "ErrorData",
    "GetPromptRequest",
    "GetPromptResult",
    "Implementation",
    "IncludeContext",
    "InitializeRequest",
    "InitializeResult",
    "InitializedNotification",
    "JSONRPCError",
    "JSONRPCRequest",
    "ListPromptsRequest",
    "ListPromptsResult",
    "ListResourcesRequest",
    "ListResourcesResult",
    "ListToolsResult",
    "LoggingLevel",
    "LoggingMessageNotification",
    "McpError",
    "Notification",
    "PingRequest",
    "ProgressNotification",
    "PromptsCapability",
    "ReadResourceRequest",
    "ReadResourceResult",
    "ResourcesCapability",
    "ResourceUpdatedNotification",
    "Resource",
    "RootsCapability",
    "SamplingMessage",
    "SamplingRole",
    "ServerCapabilities",
    "ServerNotification",
    "ServerRequest",
    "ServerResult",
    "ServerSession",
    "SetLevelRequest",
    "StdioServerParameters",
    "StopReason",
    "SubscribeRequest",
    "Tool",
    "ToolsCapability",
    "UnsubscribeRequest",
    "stdio_client",
    "stdio_server",
    "CompleteRequest",
    "JSONRPCResponse",
]

========================================
File: "src/mcp/cli/__init__.py"
Size: 87 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""FastMCP CLI package."""

from .cli import app

if __name__ == "__main__":
    app()

========================================
File: "src/mcp/client/__init__.py"
Size: 0 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================

========================================
File: "src/mcp/server/__init__.py"
Size: 135 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from .fastmcp import FastMCP
from .lowlevel import NotificationOptions, Server

__all__ = ["Server", "FastMCP", "NotificationOptions"]

========================================
File: "src/mcp/server/fastmcp/__init__.py"
Size: 245 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""FastMCP - A more ergonomic interface for MCP servers."""

from importlib.metadata import version

from .server import Context, FastMCP
from .utilities.types import Image

__version__ = version("mcp")
__all__ = ["FastMCP", "Context", "Image"]

========================================
File: "src/mcp/server/fastmcp/prompts/__init__.py"
Size: 99 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from .base import Prompt
from .manager import PromptManager

__all__ = ["Prompt", "PromptManager"]

========================================
File: "src/mcp/server/fastmcp/resources/__init__.py"
Size: 464 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from .base import Resource
from .resource_manager import ResourceManager
from .templates import ResourceTemplate
from .types import (
    BinaryResource,
    DirectoryResource,
    FileResource,
    FunctionResource,
    HttpResource,
    TextResource,
)

__all__ = [
    "Resource",
    "TextResource",
    "BinaryResource",
    "FunctionResource",
    "FileResource",
    "HttpResource",
    "DirectoryResource",
    "ResourceTemplate",
    "ResourceManager",
]

========================================
File: "src/mcp/server/fastmcp/tools/__init__.py"
Size: 96 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from .base import Tool
from .tool_manager import ToolManager

__all__ = ["Tool", "ToolManager"]

========================================
File: "src/mcp/server/fastmcp/utilities/__init__.py"
Size: 31 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""FastMCP utility modules."""

========================================
File: "src/mcp/server/lowlevel/__init__.py"
Size: 93 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from .server import NotificationOptions, Server

__all__ = ["Server", "NotificationOptions"]

========================================
File: "src/mcp/client/__main__.py"
Size: 2265 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
import argparse
import logging
import sys
from functools import partial
from urllib.parse import urlparse

import anyio

from mcp.client.session import ClientSession
from mcp.client.sse import sse_client
from mcp.client.stdio import StdioServerParameters, stdio_client

if not sys.warnoptions:
    import warnings

    warnings.simplefilter("ignore")

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("client")


async def receive_loop(session: ClientSession):
    logger.info("Starting receive loop")
    async for message in session.incoming_messages:
        if isinstance(message, Exception):
            logger.error("Error: %s", message)
            continue

        logger.info("Received message from server: %s", message)


async def run_session(read_stream, write_stream):
    async with (
        ClientSession(read_stream, write_stream) as session,
        anyio.create_task_group() as tg,
    ):
        tg.start_soon(receive_loop, session)

        logger.info("Initializing session")
        await session.initialize()
        logger.info("Initialized")


async def main(command_or_url: str, args: list[str], env: list[tuple[str, str]]):
    env_dict = dict(env)

    if urlparse(command_or_url).scheme in ("http", "https"):
        # Use SSE client for HTTP(S) URLs
        async with sse_client(command_or_url) as streams:
            await run_session(*streams)
    else:
        # Use stdio client for commands
        server_parameters = StdioServerParameters(
            command=command_or_url, args=args, env=env_dict
        )
        async with stdio_client(server_parameters) as streams:
            await run_session(*streams)


def cli():
    parser = argparse.ArgumentParser()
    parser.add_argument("command_or_url", help="Command or URL to connect to")
    parser.add_argument("args", nargs="*", help="Additional arguments")
    parser.add_argument(
        "-e",
        "--env",
        nargs=2,
        action="append",
        metavar=("KEY", "VALUE"),
        help="Environment variables to set. Can be used multiple times.",
        default=[],
    )

    args = parser.parse_args()
    anyio.run(partial(main, args.command_or_url, args.args, args.env), backend="trio")


if __name__ == "__main__":
    cli()

========================================
File: "src/mcp/server/__main__.py"
Size: 1328 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
import importlib.metadata
import logging
import sys

import anyio

from mcp.server.models import InitializationOptions
from mcp.server.session import ServerSession
from mcp.server.stdio import stdio_server
from mcp.types import ServerCapabilities

if not sys.warnoptions:
    import warnings

    warnings.simplefilter("ignore")

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("server")


async def receive_loop(session: ServerSession):
    logger.info("Starting receive loop")
    async for message in session.incoming_messages:
        if isinstance(message, Exception):
            logger.error("Error: %s", message)
            continue

        logger.info("Received message from client: %s", message)


async def main():
    version = importlib.metadata.version("mcp")
    async with stdio_server() as (read_stream, write_stream):
        async with (
            ServerSession(
                read_stream,
                write_stream,
                InitializationOptions(
                    server_name="mcp",
                    server_version=version,
                    capabilities=ServerCapabilities(),
                ),
            ) as session,
            write_stream,
        ):
            await receive_loop(session)


if __name__ == "__main__":
    anyio.run(main, backend="trio")

========================================
File: "src/mcp/server/fastmcp/prompts/base.py"
Size: 5554 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Base classes for FastMCP prompts."""

import inspect
import json
from collections.abc import Callable
from typing import Any, Awaitable, Literal, Sequence

import pydantic_core
from pydantic import BaseModel, Field, TypeAdapter, validate_call

from mcp.types import EmbeddedResource, ImageContent, TextContent

CONTENT_TYPES = TextContent | ImageContent | EmbeddedResource


class Message(BaseModel):
    """Base class for all prompt messages."""

    role: Literal["user", "assistant"]
    content: CONTENT_TYPES

    def __init__(self, content: str | CONTENT_TYPES, **kwargs):
        if isinstance(content, str):
            content = TextContent(type="text", text=content)
        super().__init__(content=content, **kwargs)


class UserMessage(Message):
    """A message from the user."""

    role: Literal["user", "assistant"] = "user"

    def __init__(self, content: str | CONTENT_TYPES, **kwargs):
        super().__init__(content=content, **kwargs)


class AssistantMessage(Message):
    """A message from the assistant."""

    role: Literal["user", "assistant"] = "assistant"

    def __init__(self, content: str | CONTENT_TYPES, **kwargs):
        super().__init__(content=content, **kwargs)


message_validator = TypeAdapter(UserMessage | AssistantMessage)

SyncPromptResult = (
    str | Message | dict[str, Any] | Sequence[str | Message | dict[str, Any]]
)
PromptResult = SyncPromptResult | Awaitable[SyncPromptResult]


class PromptArgument(BaseModel):
    """An argument that can be passed to a prompt."""

    name: str = Field(description="Name of the argument")
    description: str | None = Field(
        None, description="Description of what the argument does"
    )
    required: bool = Field(
        default=False, description="Whether the argument is required"
    )


class Prompt(BaseModel):
    """A prompt template that can be rendered with parameters."""

    name: str = Field(description="Name of the prompt")
    description: str | None = Field(
        None, description="Description of what the prompt does"
    )
    arguments: list[PromptArgument] | None = Field(
        None, description="Arguments that can be passed to the prompt"
    )
    fn: Callable = Field(exclude=True)

    @classmethod
    def from_function(
        cls,
        fn: Callable[..., PromptResult],
        name: str | None = None,
        description: str | None = None,
    ) -> "Prompt":
        """Create a Prompt from a function.

        The function can return:
        - A string (converted to a message)
        - A Message object
        - A dict (converted to a message)
        - A sequence of any of the above
        """
        func_name = name or fn.__name__

        if func_name == "<lambda>":
            raise ValueError("You must provide a name for lambda functions")

        # Get schema from TypeAdapter - will fail if function isn't properly typed
        parameters = TypeAdapter(fn).json_schema()

        # Convert parameters to PromptArguments
        arguments = []
        if "properties" in parameters:
            for param_name, param in parameters["properties"].items():
                required = param_name in parameters.get("required", [])
                arguments.append(
                    PromptArgument(
                        name=param_name,
                        description=param.get("description"),
                        required=required,
                    )
                )

        # ensure the arguments are properly cast
        fn = validate_call(fn)

        return cls(
            name=func_name,
            description=description or fn.__doc__ or "",
            arguments=arguments,
            fn=fn,
        )

    async def render(self, arguments: dict[str, Any] | None = None) -> list[Message]:
        """Render the prompt with arguments."""
        # Validate required arguments
        if self.arguments:
            required = {arg.name for arg in self.arguments if arg.required}
            provided = set(arguments or {})
            missing = required - provided
            if missing:
                raise ValueError(f"Missing required arguments: {missing}")

        try:
            # Call function and check if result is a coroutine
            result = self.fn(**(arguments or {}))
            if inspect.iscoroutine(result):
                result = await result

            # Validate messages
            if not isinstance(result, (list, tuple)):
                result = [result]

            # Convert result to messages
            messages = []
            for msg in result:
                try:
                    if isinstance(msg, Message):
                        messages.append(msg)
                    elif isinstance(msg, dict):
                        msg = message_validator.validate_python(msg)
                        messages.append(msg)
                    elif isinstance(msg, str):
                        messages.append(
                            UserMessage(content=TextContent(type="text", text=msg))
                        )
                    else:
                        msg = json.dumps(pydantic_core.to_jsonable_python(msg))
                        messages.append(Message(role="user", content=msg))
                except Exception:
                    raise ValueError(
                        f"Could not convert prompt result to message: {msg}"
                    )

            return messages
        except Exception as e:
            raise ValueError(f"Error rendering prompt {self.name}: {e}")

========================================
File: "src/mcp/server/fastmcp/resources/base.py"
Size: 1355 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Base classes and interfaces for FastMCP resources."""

import abc
from typing import Annotated

from pydantic import (
    AnyUrl,
    BaseModel,
    ConfigDict,
    Field,
    UrlConstraints,
    ValidationInfo,
    field_validator,
)


class Resource(BaseModel, abc.ABC):
    """Base class for all resources."""

    model_config = ConfigDict(validate_default=True)

    uri: Annotated[AnyUrl, UrlConstraints(host_required=False)] = Field(
        default=..., description="URI of the resource"
    )
    name: str | None = Field(description="Name of the resource", default=None)
    description: str | None = Field(
        description="Description of the resource", default=None
    )
    mime_type: str = Field(
        default="text/plain",
        description="MIME type of the resource content",
        pattern=r"^[a-zA-Z0-9]+/[a-zA-Z0-9\-+.]+$",
    )

    @field_validator("name", mode="before")
    @classmethod
    def set_default_name(cls, name: str | None, info: ValidationInfo) -> str:
        """Set default name from URI if not provided."""
        if name:
            return name
        if uri := info.data.get("uri"):
            return str(uri)
        raise ValueError("Either name or uri must be provided")

    @abc.abstractmethod
    async def read(self) -> str | bytes:
        """Read the resource content."""
        pass

========================================
File: "src/mcp/server/fastmcp/tools/base.py"
Size: 2837 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
import inspect
from typing import TYPE_CHECKING, Any, Callable

from pydantic import BaseModel, Field

import mcp.server.fastmcp
from mcp.server.fastmcp.exceptions import ToolError
from mcp.server.fastmcp.utilities.func_metadata import FuncMetadata, func_metadata

if TYPE_CHECKING:
    from mcp.server.fastmcp.server import Context


class Tool(BaseModel):
    """Internal tool registration info."""

    fn: Callable = Field(exclude=True)
    name: str = Field(description="Name of the tool")
    description: str = Field(description="Description of what the tool does")
    parameters: dict = Field(description="JSON schema for tool parameters")
    fn_metadata: FuncMetadata = Field(
        description="Metadata about the function including a pydantic model for tool"
        " arguments"
    )
    is_async: bool = Field(description="Whether the tool is async")
    context_kwarg: str | None = Field(
        None, description="Name of the kwarg that should receive context"
    )

    @classmethod
    def from_function(
        cls,
        fn: Callable,
        name: str | None = None,
        description: str | None = None,
        context_kwarg: str | None = None,
    ) -> "Tool":
        """Create a Tool from a function."""
        func_name = name or fn.__name__

        if func_name == "<lambda>":
            raise ValueError("You must provide a name for lambda functions")

        func_doc = description or fn.__doc__ or ""
        is_async = inspect.iscoroutinefunction(fn)

        # Find context parameter if it exists
        if context_kwarg is None:
            sig = inspect.signature(fn)
            for param_name, param in sig.parameters.items():
                if param.annotation is mcp.server.fastmcp.Context:
                    context_kwarg = param_name
                    break

        func_arg_metadata = func_metadata(
            fn,
            skip_names=[context_kwarg] if context_kwarg is not None else [],
        )
        parameters = func_arg_metadata.arg_model.model_json_schema()

        return cls(
            fn=fn,
            name=func_name,
            description=func_doc,
            parameters=parameters,
            fn_metadata=func_arg_metadata,
            is_async=is_async,
            context_kwarg=context_kwarg,
        )

    async def run(self, arguments: dict, context: "Context | None" = None) -> Any:
        """Run the tool with arguments."""
        try:
            return await self.fn_metadata.call_fn_with_arg_validation(
                self.fn,
                self.is_async,
                arguments,
                {self.context_kwarg: context}
                if self.context_kwarg is not None
                else None,
            )
        except Exception as e:
            raise ToolError(f"Error executing tool {self.name}: {e}") from e

========================================
File: "src/mcp/cli/claude.py"
Size: 4433 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Claude app integration utilities."""

import json
import sys
from pathlib import Path

from mcp.server.fastmcp.utilities.logging import get_logger

logger = get_logger(__name__)

MCP_PACKAGE = "mcp[cli]"


def get_claude_config_path() -> Path | None:
    """Get the Claude config directory based on platform."""
    if sys.platform == "win32":
        path = Path(Path.home(), "AppData", "Roaming", "Claude")
    elif sys.platform == "darwin":
        path = Path(Path.home(), "Library", "Application Support", "Claude")
    else:
        return None

    if path.exists():
        return path
    return None


def update_claude_config(
    file_spec: str,
    server_name: str,
    *,
    with_editable: Path | None = None,
    with_packages: list[str] | None = None,
    env_vars: dict[str, str] | None = None,
) -> bool:
    """Add or update a FastMCP server in Claude's configuration.

    Args:
        file_spec: Path to the server file, optionally with :object suffix
        server_name: Name for the server in Claude's config
        with_editable: Optional directory to install in editable mode
        with_packages: Optional list of additional packages to install
        env_vars: Optional dictionary of environment variables. These are merged with
            any existing variables, with new values taking precedence.

    Raises:
        RuntimeError: If Claude Desktop's config directory is not found, indicating
            Claude Desktop may not be installed or properly set up.
    """
    config_dir = get_claude_config_path()
    if not config_dir:
        raise RuntimeError(
            "Claude Desktop config directory not found. Please ensure Claude Desktop"
            " is installed and has been run at least once to initialize its config."
        )

    config_file = config_dir / "claude_desktop_config.json"
    if not config_file.exists():
        try:
            config_file.write_text("{}")
        except Exception as e:
            logger.error(
                "Failed to create Claude config file",
                extra={
                    "error": str(e),
                    "config_file": str(config_file),
                },
            )
            return False

    try:
        config = json.loads(config_file.read_text())
        if "mcpServers" not in config:
            config["mcpServers"] = {}

        # Always preserve existing env vars and merge with new ones
        if (
            server_name in config["mcpServers"]
            and "env" in config["mcpServers"][server_name]
        ):
            existing_env = config["mcpServers"][server_name]["env"]
            if env_vars:
                # New vars take precedence over existing ones
                env_vars = {**existing_env, **env_vars}
            else:
                env_vars = existing_env

        # Build uv run command
        args = ["run"]

        # Collect all packages in a set to deduplicate
        packages = {MCP_PACKAGE}
        if with_packages:
            packages.update(pkg for pkg in with_packages if pkg)

        # Add all packages with --with
        for pkg in sorted(packages):
            args.extend(["--with", pkg])

        if with_editable:
            args.extend(["--with-editable", str(with_editable)])

        # Convert file path to absolute before adding to command
        # Split off any :object suffix first
        if ":" in file_spec:
            file_path, server_object = file_spec.rsplit(":", 1)
            file_spec = f"{Path(file_path).resolve()}:{server_object}"
        else:
            file_spec = str(Path(file_spec).resolve())

        # Add fastmcp run command
        args.extend(["mcp", "run", file_spec])

        server_config = {
            "command": "uv",
            "args": args,
        }

        # Add environment variables if specified
        if env_vars:
            server_config["env"] = env_vars

        config["mcpServers"][server_name] = server_config

        config_file.write_text(json.dumps(config, indent=2))
        logger.info(
            f"Added server '{server_name}' to Claude config",
            extra={"config_file": str(config_file)},
        )
        return True
    except Exception as e:
        logger.error(
            "Failed to update Claude config",
            extra={
                "error": str(e),
                "config_file": str(config_file),
            },
        )
        return False

========================================
File: "src/mcp/cli/cli.py"
Size: 13896 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""MCP CLI tools."""

import importlib.metadata
import importlib.util
import os
import subprocess
import sys
from pathlib import Path
from typing import Annotated

try:
    import typer
except ImportError:
    print("Error: typer is required. Install with 'pip install mcp[cli]'")
    sys.exit(1)

try:
    from mcp.cli import claude
    from mcp.server.fastmcp.utilities.logging import get_logger
except ImportError:
    print("Error: mcp.server.fastmcp is not installed or not in PYTHONPATH")
    sys.exit(1)

try:
    import dotenv
except ImportError:
    dotenv = None

logger = get_logger("cli")

app = typer.Typer(
    name="mcp",
    help="MCP development tools",
    add_completion=False,
    no_args_is_help=True,  # Show help if no args provided
)


def _get_npx_command():
    """Get the correct npx command for the current platform."""
    if sys.platform == "win32":
        # Try both npx.cmd and npx.exe on Windows
        for cmd in ["npx.cmd", "npx.exe", "npx"]:
            try:
                subprocess.run(
                    [cmd, "--version"], check=True, capture_output=True, shell=True
                )
                return cmd
            except subprocess.CalledProcessError:
                continue
        return None
    return "npx"  # On Unix-like systems, just use npx


def _parse_env_var(env_var: str) -> tuple[str, str]:
    """Parse environment variable string in format KEY=VALUE."""
    if "=" not in env_var:
        logger.error(
            f"Invalid environment variable format: {env_var}. Must be KEY=VALUE"
        )
        sys.exit(1)
    key, value = env_var.split("=", 1)
    return key.strip(), value.strip()


def _build_uv_command(
    file_spec: str,
    with_editable: Path | None = None,
    with_packages: list[str] | None = None,
) -> list[str]:
    """Build the uv run command that runs a MCP server through mcp run."""
    cmd = ["uv"]

    cmd.extend(["run", "--with", "mcp"])

    if with_editable:
        cmd.extend(["--with-editable", str(with_editable)])

    if with_packages:
        for pkg in with_packages:
            if pkg:
                cmd.extend(["--with", pkg])

    # Add mcp run command
    cmd.extend(["mcp", "run", file_spec])
    return cmd


def _parse_file_path(file_spec: str) -> tuple[Path, str | None]:
    """Parse a file path that may include a server object specification.

    Args:
        file_spec: Path to file, optionally with :object suffix

    Returns:
        Tuple of (file_path, server_object)
    """
    # First check if we have a Windows path (e.g., C:\...)
    has_windows_drive = len(file_spec) > 1 and file_spec[1] == ":"

    # Split on the last colon, but only if it's not part of the Windows drive letter
    # and there's actually another colon in the string after the drive letter
    if ":" in (file_spec[2:] if has_windows_drive else file_spec):
        file_str, server_object = file_spec.rsplit(":", 1)
    else:
        file_str, server_object = file_spec, None

    # Resolve the file path
    file_path = Path(file_str).expanduser().resolve()
    if not file_path.exists():
        logger.error(f"File not found: {file_path}")
        sys.exit(1)
    if not file_path.is_file():
        logger.error(f"Not a file: {file_path}")
        sys.exit(1)

    return file_path, server_object


def _import_server(file: Path, server_object: str | None = None):
    """Import a MCP server from a file.

    Args:
        file: Path to the file
        server_object: Optional object name in format "module:object" or just "object"

    Returns:
        The server object
    """
    # Add parent directory to Python path so imports can be resolved
    file_dir = str(file.parent)
    if file_dir not in sys.path:
        sys.path.insert(0, file_dir)

    # Import the module
    spec = importlib.util.spec_from_file_location("server_module", file)
    if not spec or not spec.loader:
        logger.error("Could not load module", extra={"file": str(file)})
        sys.exit(1)

    module = importlib.util.module_from_spec(spec)
    spec.loader.exec_module(module)

    # If no object specified, try common server names
    if not server_object:
        # Look for the most common server object names
        for name in ["mcp", "server", "app"]:
            if hasattr(module, name):
                return getattr(module, name)

        logger.error(
            f"No server object found in {file}. Please either:\n"
            "1. Use a standard variable name (mcp, server, or app)\n"
            "2. Specify the object name with file:object syntax",
            extra={"file": str(file)},
        )
        sys.exit(1)

    # Handle module:object syntax
    if ":" in server_object:
        module_name, object_name = server_object.split(":", 1)
        try:
            server_module = importlib.import_module(module_name)
            server = getattr(server_module, object_name, None)
        except ImportError:
            logger.error(
                f"Could not import module '{module_name}'",
                extra={"file": str(file)},
            )
            sys.exit(1)
    else:
        # Just object name
        server = getattr(module, server_object, None)

    if server is None:
        logger.error(
            f"Server object '{server_object}' not found",
            extra={"file": str(file)},
        )
        sys.exit(1)

    return server


@app.command()
def version() -> None:
    """Show the MCP version."""
    try:
        version = importlib.metadata.version("mcp")
        print(f"MCP version {version}")
    except importlib.metadata.PackageNotFoundError:
        print("MCP version unknown (package not installed)")
        sys.exit(1)


@app.command()
def dev(
    file_spec: str = typer.Argument(
        ...,
        help="Python file to run, optionally with :object suffix",
    ),
    with_editable: Annotated[
        Path | None,
        typer.Option(
            "--with-editable",
            "-e",
            help="Directory containing pyproject.toml to install in editable mode",
            exists=True,
            file_okay=False,
            resolve_path=True,
        ),
    ] = None,
    with_packages: Annotated[
        list[str],
        typer.Option(
            "--with",
            help="Additional packages to install",
        ),
    ] = [],
) -> None:
    """Run a MCP server with the MCP Inspector."""
    file, server_object = _parse_file_path(file_spec)

    logger.debug(
        "Starting dev server",
        extra={
            "file": str(file),
            "server_object": server_object,
            "with_editable": str(with_editable) if with_editable else None,
            "with_packages": with_packages,
        },
    )

    try:
        # Import server to get dependencies
        server = _import_server(file, server_object)
        if hasattr(server, "dependencies"):
            with_packages = list(set(with_packages + server.dependencies))

        uv_cmd = _build_uv_command(file_spec, with_editable, with_packages)

        # Get the correct npx command
        npx_cmd = _get_npx_command()
        if not npx_cmd:
            logger.error(
                "npx not found. Please ensure Node.js and npm are properly installed "
                "and added to your system PATH."
            )
            sys.exit(1)

        # Run the MCP Inspector command with shell=True on Windows
        shell = sys.platform == "win32"
        process = subprocess.run(
            [npx_cmd, "@modelcontextprotocol/inspector"] + uv_cmd,
            check=True,
            shell=shell,
            env=dict(os.environ.items()),  # Convert to list of tuples for env update
        )
        sys.exit(process.returncode)
    except subprocess.CalledProcessError as e:
        logger.error(
            "Dev server failed",
            extra={
                "file": str(file),
                "error": str(e),
                "returncode": e.returncode,
            },
        )
        sys.exit(e.returncode)
    except FileNotFoundError:
        logger.error(
            "npx not found. Please ensure Node.js and npm are properly installed "
            "and added to your system PATH. You may need to restart your terminal "
            "after installation.",
            extra={"file": str(file)},
        )
        sys.exit(1)


@app.command()
def run(
    file_spec: str = typer.Argument(
        ...,
        help="Python file to run, optionally with :object suffix",
    ),
    transport: Annotated[
        str | None,
        typer.Option(
            "--transport",
            "-t",
            help="Transport protocol to use (stdio or sse)",
        ),
    ] = None,
) -> None:
    """Run a MCP server.

    The server can be specified in two ways:
    1. Module approach: server.py - runs the module directly, expecting a server.run()
       call
    2. Import approach: server.py:app - imports and runs the specified server object

    Note: This command runs the server directly. You are responsible for ensuring
    all dependencies are available. For dependency management, use mcp install
    or mcp dev instead.
    """
    file, server_object = _parse_file_path(file_spec)

    logger.debug(
        "Running server",
        extra={
            "file": str(file),
            "server_object": server_object,
            "transport": transport,
        },
    )

    try:
        # Import and get server object
        server = _import_server(file, server_object)

        # Run the server
        kwargs = {}
        if transport:
            kwargs["transport"] = transport

        server.run(**kwargs)

    except Exception as e:
        logger.error(
            f"Failed to run server: {e}",
            extra={
                "file": str(file),
                "error": str(e),
            },
        )
        sys.exit(1)


@app.command()
def install(
    file_spec: str = typer.Argument(
        ...,
        help="Python file to run, optionally with :object suffix",
    ),
    server_name: Annotated[
        str | None,
        typer.Option(
            "--name",
            "-n",
            help="Custom name for the server (defaults to server's name attribute or"
            " file name)",
        ),
    ] = None,
    with_editable: Annotated[
        Path | None,
        typer.Option(
            "--with-editable",
            "-e",
            help="Directory containing pyproject.toml to install in editable mode",
            exists=True,
            file_okay=False,
            resolve_path=True,
        ),
    ] = None,
    with_packages: Annotated[
        list[str],
        typer.Option(
            "--with",
            help="Additional packages to install",
        ),
    ] = [],
    env_vars: Annotated[
        list[str],
        typer.Option(
            "--env-var",
            "-v",
            help="Environment variables in KEY=VALUE format",
        ),
    ] = [],
    env_file: Annotated[
        Path | None,
        typer.Option(
            "--env-file",
            "-f",
            help="Load environment variables from a .env file",
            exists=True,
            file_okay=True,
            dir_okay=False,
            resolve_path=True,
        ),
    ] = None,
) -> None:
    """Install a MCP server in the Claude desktop app.

    Environment variables are preserved once added and only updated if new values
    are explicitly provided.
    """
    file, server_object = _parse_file_path(file_spec)

    logger.debug(
        "Installing server",
        extra={
            "file": str(file),
            "server_name": server_name,
            "server_object": server_object,
            "with_editable": str(with_editable) if with_editable else None,
            "with_packages": with_packages,
        },
    )

    if not claude.get_claude_config_path():
        logger.error("Claude app not found")
        sys.exit(1)

    # Try to import server to get its name, but fall back to file name if dependencies
    # missing
    name = server_name
    server = None
    if not name:
        try:
            server = _import_server(file, server_object)
            name = server.name
        except (ImportError, ModuleNotFoundError) as e:
            logger.debug(
                "Could not import server (likely missing dependencies), using file"
                " name",
                extra={"error": str(e)},
            )
            name = file.stem

    # Get server dependencies if available
    server_dependencies = getattr(server, "dependencies", []) if server else []
    if server_dependencies:
        with_packages = list(set(with_packages + server_dependencies))

    # Process environment variables if provided
    env_dict: dict[str, str] | None = None
    if env_file or env_vars:
        env_dict = {}
        # Load from .env file if specified
        if env_file:
            if dotenv:
                try:
                    env_dict |= {
                        k: v
                        for k, v in dotenv.dotenv_values(env_file).items()
                        if v is not None
                    }
                except Exception as e:
                    logger.error(f"Failed to load .env file: {e}")
                    sys.exit(1)
            else:
                logger.error("python-dotenv is not installed. Cannot load .env file.")
                sys.exit(1)

        # Add command line environment variables
        for env_var in env_vars:
            key, value = _parse_env_var(env_var)
            env_dict[key] = value

    if claude.update_claude_config(
        file_spec,
        name,
        with_editable=with_editable,
        with_packages=with_packages,
        env_vars=env_dict,
    ):
        logger.info(f"Successfully installed {name} in Claude app")
    else:
        logger.error(f"Failed to install {name} in Claude app")
        sys.exit(1)

========================================
File: "src/mcp/shared/context.py"
Size: 454 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from dataclasses import dataclass
from typing import Generic, TypeVar

from mcp.shared.session import BaseSession
from mcp.types import RequestId, RequestParams

SessionT = TypeVar("SessionT", bound=BaseSession)
LifespanContextT = TypeVar("LifespanContextT")


@dataclass
class RequestContext(Generic[SessionT, LifespanContextT]):
    request_id: RequestId
    meta: RequestParams.Meta | None
    session: SessionT
    lifespan_context: LifespanContextT

========================================
File: "src/mcp/server/fastmcp/exceptions.py"
Size: 435 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Custom exceptions for FastMCP."""


class FastMCPError(Exception):
    """Base error for FastMCP."""


class ValidationError(FastMCPError):
    """Error in validating parameters or return values."""


class ResourceError(FastMCPError):
    """Error in resource operations."""


class ToolError(FastMCPError):
    """Error in tool operations."""


class InvalidSignature(Exception):
    """Invalid signature for use with FastMCP."""

========================================
File: "src/mcp/shared/exceptions.py"
Size: 316 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from mcp.types import ErrorData


class McpError(Exception):
    """
    Exception type raised when an error arrives over an MCP connection.
    """

    error: ErrorData

    def __init__(self, error: ErrorData):
        """Initialize McpError."""
        super().__init__(error.message)
        self.error = error

========================================
File: "src/mcp/server/fastmcp/utilities/func_metadata.py"
Size: 7649 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
import inspect
import json
from collections.abc import Awaitable, Callable, Sequence
from typing import (
    Annotated,
    Any,
    ForwardRef,
)

from pydantic import BaseModel, ConfigDict, Field, WithJsonSchema, create_model
from pydantic._internal._typing_extra import eval_type_backport
from pydantic.fields import FieldInfo
from pydantic_core import PydanticUndefined

from mcp.server.fastmcp.exceptions import InvalidSignature
from mcp.server.fastmcp.utilities.logging import get_logger

logger = get_logger(__name__)


class ArgModelBase(BaseModel):
    """A model representing the arguments to a function."""

    def model_dump_one_level(self) -> dict[str, Any]:
        """Return a dict of the model's fields, one level deep.

        That is, sub-models etc are not dumped - they are kept as pydantic models.
        """
        kwargs: dict[str, Any] = {}
        for field_name in self.model_fields.keys():
            kwargs[field_name] = getattr(self, field_name)
        return kwargs

    model_config = ConfigDict(
        arbitrary_types_allowed=True,
    )


class FuncMetadata(BaseModel):
    arg_model: Annotated[type[ArgModelBase], WithJsonSchema(None)]
    # We can add things in the future like
    #  - Maybe some args are excluded from attempting to parse from JSON
    #  - Maybe some args are special (like context) for dependency injection

    async def call_fn_with_arg_validation(
        self,
        fn: Callable[..., Any] | Awaitable[Any],
        fn_is_async: bool,
        arguments_to_validate: dict[str, Any],
        arguments_to_pass_directly: dict[str, Any] | None,
    ) -> Any:
        """Call the given function with arguments validated and injected.

        Arguments are first attempted to be parsed from JSON, then validated against
        the argument model, before being passed to the function.
        """
        arguments_pre_parsed = self.pre_parse_json(arguments_to_validate)
        arguments_parsed_model = self.arg_model.model_validate(arguments_pre_parsed)
        arguments_parsed_dict = arguments_parsed_model.model_dump_one_level()

        arguments_parsed_dict |= arguments_to_pass_directly or {}

        if fn_is_async:
            if isinstance(fn, Awaitable):
                return await fn
            return await fn(**arguments_parsed_dict)
        if isinstance(fn, Callable):
            return fn(**arguments_parsed_dict)
        raise TypeError("fn must be either Callable or Awaitable")

    def pre_parse_json(self, data: dict[str, Any]) -> dict[str, Any]:
        """Pre-parse data from JSON.

        Return a dict with same keys as input but with values parsed from JSON
        if appropriate.

        This is to handle cases like `["a", "b", "c"]` being passed in as JSON inside
        a string rather than an actual list. Claude desktop is prone to this - in fact
        it seems incapable of NOT doing this. For sub-models, it tends to pass
        dicts (JSON objects) as JSON strings, which can be pre-parsed here.
        """
        new_data = data.copy()  # Shallow copy
        for field_name, field_info in self.arg_model.model_fields.items():
            if field_name not in data.keys():
                continue
            if isinstance(data[field_name], str):
                try:
                    pre_parsed = json.loads(data[field_name])
                except json.JSONDecodeError:
                    continue  # Not JSON - skip
                if isinstance(pre_parsed, str):
                    # This is likely that the raw value is e.g. `"hello"` which we
                    # Should really be parsed as '"hello"' in Python - but if we parse
                    # it as JSON it'll turn into just 'hello'. So we skip it.
                    continue
                new_data[field_name] = pre_parsed
        assert new_data.keys() == data.keys()
        return new_data

    model_config = ConfigDict(
        arbitrary_types_allowed=True,
    )


def func_metadata(func: Callable, skip_names: Sequence[str] = ()) -> FuncMetadata:
    """Given a function, return metadata including a pydantic model representing its
    signature.

    The use case for this is
    ```
    meta = func_to_pyd(func)
    validated_args = meta.arg_model.model_validate(some_raw_data_dict)
    return func(**validated_args.model_dump_one_level())
    ```

    **critically** it also provides pre-parse helper to attempt to parse things from
    JSON.

    Args:
        func: The function to convert to a pydantic model
        skip_names: A list of parameter names to skip. These will not be included in
            the model.
    Returns:
        A pydantic model representing the function's signature.
    """
    sig = _get_typed_signature(func)
    params = sig.parameters
    dynamic_pydantic_model_params: dict[str, Any] = {}
    globalns = getattr(func, "__globals__", {})
    for param in params.values():
        if param.name.startswith("_"):
            raise InvalidSignature(
                f"Parameter {param.name} of {func.__name__} cannot start with '_'"
            )
        if param.name in skip_names:
            continue
        annotation = param.annotation

        # `x: None` / `x: None = None`
        if annotation is None:
            annotation = Annotated[
                None,
                Field(
                    default=param.default
                    if param.default is not inspect.Parameter.empty
                    else PydanticUndefined
                ),
            ]

        # Untyped field
        if annotation is inspect.Parameter.empty:
            annotation = Annotated[
                Any,
                Field(),
                # 🤷
                WithJsonSchema({"title": param.name, "type": "string"}),
            ]

        field_info = FieldInfo.from_annotated_attribute(
            _get_typed_annotation(annotation, globalns),
            param.default
            if param.default is not inspect.Parameter.empty
            else PydanticUndefined,
        )
        dynamic_pydantic_model_params[param.name] = (field_info.annotation, field_info)
        continue

    arguments_model = create_model(
        f"{func.__name__}Arguments",
        **dynamic_pydantic_model_params,
        __base__=ArgModelBase,
    )
    resp = FuncMetadata(arg_model=arguments_model)
    return resp


def _get_typed_annotation(annotation: Any, globalns: dict[str, Any]) -> Any:
    def try_eval_type(value, globalns, localns):
        try:
            return eval_type_backport(value, globalns, localns), True
        except NameError:
            return value, False

    if isinstance(annotation, str):
        annotation = ForwardRef(annotation)
        annotation, status = try_eval_type(annotation, globalns, globalns)

        # This check and raise could perhaps be skipped, and we (FastMCP) just call
        # model_rebuild right before using it 🤷
        if status is False:
            raise InvalidSignature(f"Unable to evaluate type annotation {annotation}")

    return annotation


def _get_typed_signature(call: Callable[..., Any]) -> inspect.Signature:
    """Get function signature while evaluating forward references"""
    signature = inspect.signature(call)
    globalns = getattr(call, "__globals__", {})
    typed_params = [
        inspect.Parameter(
            name=param.name,
            kind=param.kind,
            default=param.default,
            annotation=_get_typed_annotation(param.annotation, globalns),
        )
        for param in signature.parameters.values()
    ]
    typed_signature = inspect.Signature(typed_params)
    return typed_signature

========================================
File: "src/mcp/server/lowlevel/helper_types.py"
Size: 189 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from dataclasses import dataclass


@dataclass
class ReadResourceContents:
    """Contents returned from a read_resource call."""

    content: str | bytes
    mime_type: str | None = None

========================================
File: "src/mcp/server/fastmcp/utilities/logging.py"
Size: 980 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Logging utilities for FastMCP."""

import logging
from typing import Literal


def get_logger(name: str) -> logging.Logger:
    """Get a logger nested under MCPnamespace.

    Args:
        name: the name of the logger, which will be prefixed with 'FastMCP.'

    Returns:
        a configured logger instance
    """
    return logging.getLogger(name)


def configure_logging(
    level: Literal["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "INFO",
) -> None:
    """Configure logging for MCP.

    Args:
        level: the log level to use
    """
    handlers = []
    try:
        from rich.console import Console
        from rich.logging import RichHandler

        handlers.append(RichHandler(console=Console(stderr=True), rich_tracebacks=True))
    except ImportError:
        pass

    if not handlers:
        handlers.append(logging.StreamHandler())

    logging.basicConfig(
        level=level,
        format="%(message)s",
        handlers=handlers,
    )

========================================
File: "src/mcp/server/fastmcp/prompts/manager.py"
Size: 1485 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Prompt management functionality."""

from typing import Any

from mcp.server.fastmcp.prompts.base import Message, Prompt
from mcp.server.fastmcp.utilities.logging import get_logger

logger = get_logger(__name__)


class PromptManager:
    """Manages FastMCP prompts."""

    def __init__(self, warn_on_duplicate_prompts: bool = True):
        self._prompts: dict[str, Prompt] = {}
        self.warn_on_duplicate_prompts = warn_on_duplicate_prompts

    def get_prompt(self, name: str) -> Prompt | None:
        """Get prompt by name."""
        return self._prompts.get(name)

    def list_prompts(self) -> list[Prompt]:
        """List all registered prompts."""
        return list(self._prompts.values())

    def add_prompt(
        self,
        prompt: Prompt,
    ) -> Prompt:
        """Add a prompt to the manager."""

        # Check for duplicates
        existing = self._prompts.get(prompt.name)
        if existing:
            if self.warn_on_duplicate_prompts:
                logger.warning(f"Prompt already exists: {prompt.name}")
            return existing

        self._prompts[prompt.name] = prompt
        return prompt

    async def render_prompt(
        self, name: str, arguments: dict[str, Any] | None = None
    ) -> list[Message]:
        """Render a prompt by name with arguments."""
        prompt = self.get_prompt(name)
        if not prompt:
            raise ValueError(f"Unknown prompt: {name}")

        return await prompt.render(arguments)

========================================
File: "src/mcp/shared/memory.py"
Size: 3052 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""
In-memory transports
"""

from contextlib import asynccontextmanager
from datetime import timedelta
from typing import AsyncGenerator

import anyio
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream

from mcp.client.session import ClientSession, ListRootsFnT, SamplingFnT
from mcp.server import Server
from mcp.types import JSONRPCMessage

MessageStream = tuple[
    MemoryObjectReceiveStream[JSONRPCMessage | Exception],
    MemoryObjectSendStream[JSONRPCMessage],
]


@asynccontextmanager
async def create_client_server_memory_streams() -> (
    AsyncGenerator[tuple[MessageStream, MessageStream], None]
):
    """
    Creates a pair of bidirectional memory streams for client-server communication.

    Returns:
        A tuple of (client_streams, server_streams) where each is a tuple of
        (read_stream, write_stream)
    """
    # Create streams for both directions
    server_to_client_send, server_to_client_receive = anyio.create_memory_object_stream[
        JSONRPCMessage | Exception
    ](1)
    client_to_server_send, client_to_server_receive = anyio.create_memory_object_stream[
        JSONRPCMessage | Exception
    ](1)

    client_streams = (server_to_client_receive, client_to_server_send)
    server_streams = (client_to_server_receive, server_to_client_send)

    async with (
        server_to_client_receive,
        client_to_server_send,
        client_to_server_receive,
        server_to_client_send,
    ):
        yield client_streams, server_streams


@asynccontextmanager
async def create_connected_server_and_client_session(
    server: Server,
    read_timeout_seconds: timedelta | None = None,
    sampling_callback: SamplingFnT | None = None,
    list_roots_callback: ListRootsFnT | None = None,
    raise_exceptions: bool = False,
) -> AsyncGenerator[ClientSession, None]:
    """Creates a ClientSession that is connected to a running MCP server."""
    async with create_client_server_memory_streams() as (
        client_streams,
        server_streams,
    ):
        client_read, client_write = client_streams
        server_read, server_write = server_streams

        # Create a cancel scope for the server task
        async with anyio.create_task_group() as tg:
            tg.start_soon(
                lambda: server.run(
                    server_read,
                    server_write,
                    server.create_initialization_options(),
                    raise_exceptions=raise_exceptions,
                )
            )

            try:
                async with ClientSession(
                    read_stream=client_read,
                    write_stream=client_write,
                    read_timeout_seconds=read_timeout_seconds,
                    sampling_callback=sampling_callback,
                    list_roots_callback=list_roots_callback,
                ) as client_session:
                    await client_session.initialize()
                    yield client_session
            finally:
                tg.cancel_scope.cancel()

========================================
File: "src/mcp/server/models.py"
Size: 341 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""
This module provides simpler types to use with the server for managing prompts
and tools.
"""

from pydantic import BaseModel

from mcp.types import (
    ServerCapabilities,
)


class InitializationOptions(BaseModel):
    server_name: str
    server_version: str
    capabilities: ServerCapabilities
    instructions: str | None = None

========================================
File: "src/mcp/shared/progress.py"
Size: 1033 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from contextlib import contextmanager
from dataclasses import dataclass, field

from pydantic import BaseModel

from mcp.shared.context import RequestContext
from mcp.shared.session import BaseSession
from mcp.types import ProgressToken


class Progress(BaseModel):
    progress: float
    total: float | None


@dataclass
class ProgressContext:
    session: BaseSession
    progress_token: ProgressToken
    total: float | None
    current: float = field(default=0.0, init=False)

    async def progress(self, amount: float) -> None:
        self.current += amount

        await self.session.send_progress_notification(
            self.progress_token, self.current, total=self.total
        )


@contextmanager
def progress(ctx: RequestContext, total: float | None = None):
    if ctx.meta is None or ctx.meta.progressToken is None:
        raise ValueError("No progress token provided")

    progress_ctx = ProgressContext(ctx.session, ctx.meta.progressToken, total)
    try:
        yield progress_ctx
    finally:
        pass

========================================
File: "src/mcp/server/fastmcp/prompts/prompt_manager.py"
Size: 1112 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Prompt management functionality."""

from mcp.server.fastmcp.prompts.base import Prompt
from mcp.server.fastmcp.utilities.logging import get_logger

logger = get_logger(__name__)


class PromptManager:
    """Manages FastMCP prompts."""

    def __init__(self, warn_on_duplicate_prompts: bool = True):
        self._prompts: dict[str, Prompt] = {}
        self.warn_on_duplicate_prompts = warn_on_duplicate_prompts

    def add_prompt(self, prompt: Prompt) -> Prompt:
        """Add a prompt to the manager."""
        logger.debug(f"Adding prompt: {prompt.name}")
        existing = self._prompts.get(prompt.name)
        if existing:
            if self.warn_on_duplicate_prompts:
                logger.warning(f"Prompt already exists: {prompt.name}")
            return existing
        self._prompts[prompt.name] = prompt
        return prompt

    def get_prompt(self, name: str) -> Prompt | None:
        """Get prompt by name."""
        return self._prompts.get(name)

    def list_prompts(self) -> list[Prompt]:
        """List all registered prompts."""
        return list(self._prompts.values())

========================================
File: "src/mcp/server/fastmcp/resources/resource_manager.py"
Size: 3272 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Resource manager functionality."""

from typing import Callable

from pydantic import AnyUrl

from mcp.server.fastmcp.resources.base import Resource
from mcp.server.fastmcp.resources.templates import ResourceTemplate
from mcp.server.fastmcp.utilities.logging import get_logger

logger = get_logger(__name__)


class ResourceManager:
    """Manages FastMCP resources."""

    def __init__(self, warn_on_duplicate_resources: bool = True):
        self._resources: dict[str, Resource] = {}
        self._templates: dict[str, ResourceTemplate] = {}
        self.warn_on_duplicate_resources = warn_on_duplicate_resources

    def add_resource(self, resource: Resource) -> Resource:
        """Add a resource to the manager.

        Args:
            resource: A Resource instance to add

        Returns:
            The added resource. If a resource with the same URI already exists,
            returns the existing resource.
        """
        logger.debug(
            "Adding resource",
            extra={
                "uri": resource.uri,
                "type": type(resource).__name__,
                "resource_name": resource.name,
            },
        )
        existing = self._resources.get(str(resource.uri))
        if existing:
            if self.warn_on_duplicate_resources:
                logger.warning(f"Resource already exists: {resource.uri}")
            return existing
        self._resources[str(resource.uri)] = resource
        return resource

    def add_template(
        self,
        fn: Callable,
        uri_template: str,
        name: str | None = None,
        description: str | None = None,
        mime_type: str | None = None,
    ) -> ResourceTemplate:
        """Add a template from a function."""
        template = ResourceTemplate.from_function(
            fn,
            uri_template=uri_template,
            name=name,
            description=description,
            mime_type=mime_type,
        )
        self._templates[template.uri_template] = template
        return template

    async def get_resource(self, uri: AnyUrl | str) -> Resource | None:
        """Get resource by URI, checking concrete resources first, then templates."""
        uri_str = str(uri)
        logger.debug("Getting resource", extra={"uri": uri_str})

        # First check concrete resources
        if resource := self._resources.get(uri_str):
            return resource

        # Then check templates
        for template in self._templates.values():
            if params := template.matches(uri_str):
                try:
                    return await template.create_resource(uri_str, params)
                except Exception as e:
                    raise ValueError(f"Error creating resource from template: {e}")

        raise ValueError(f"Unknown resource: {uri}")

    def list_resources(self) -> list[Resource]:
        """List all registered resources."""
        logger.debug("Listing resources", extra={"count": len(self._resources)})
        return list(self._resources.values())

    def list_templates(self) -> list[ResourceTemplate]:
        """List all registered templates."""
        logger.debug("Listing templates", extra={"count": len(self._templates)})
        return list(self._templates.values())

========================================
File: "src/mcp/server/fastmcp/server.py"
Size: 24022 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""FastMCP - A more ergonomic interface for MCP servers."""

import inspect
import json
import re
from collections.abc import AsyncIterator, Iterable
from contextlib import (
    AbstractAsyncContextManager,
    asynccontextmanager,
)
from itertools import chain
from typing import Any, Callable, Generic, Literal, Sequence

import anyio
import pydantic_core
import uvicorn
from pydantic import BaseModel, Field
from pydantic.networks import AnyUrl
from pydantic_settings import BaseSettings, SettingsConfigDict

from mcp.server.fastmcp.exceptions import ResourceError
from mcp.server.fastmcp.prompts import Prompt, PromptManager
from mcp.server.fastmcp.resources import FunctionResource, Resource, ResourceManager
from mcp.server.fastmcp.tools import ToolManager
from mcp.server.fastmcp.utilities.logging import configure_logging, get_logger
from mcp.server.fastmcp.utilities.types import Image
from mcp.server.lowlevel.helper_types import ReadResourceContents
from mcp.server.lowlevel.server import (
    LifespanResultT,
)
from mcp.server.lowlevel.server import (
    Server as MCPServer,
)
from mcp.server.lowlevel.server import (
    lifespan as default_lifespan,
)
from mcp.server.session import ServerSession
from mcp.server.sse import SseServerTransport
from mcp.server.stdio import stdio_server
from mcp.shared.context import RequestContext
from mcp.types import (
    AnyFunction,
    EmbeddedResource,
    GetPromptResult,
    ImageContent,
    TextContent,
)
from mcp.types import (
    Prompt as MCPPrompt,
)
from mcp.types import (
    PromptArgument as MCPPromptArgument,
)
from mcp.types import (
    Resource as MCPResource,
)
from mcp.types import (
    ResourceTemplate as MCPResourceTemplate,
)
from mcp.types import (
    Tool as MCPTool,
)

logger = get_logger(__name__)


class Settings(BaseSettings, Generic[LifespanResultT]):
    """FastMCP server settings.

    All settings can be configured via environment variables with the prefix FASTMCP_.
    For example, FASTMCP_DEBUG=true will set debug=True.
    """

    model_config = SettingsConfigDict(
        env_prefix="FASTMCP_",
        env_file=".env",
        extra="ignore",
    )

    # Server settings
    debug: bool = False
    log_level: Literal["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "INFO"

    # HTTP settings
    host: str = "0.0.0.0"
    port: int = 8000

    # resource settings
    warn_on_duplicate_resources: bool = True

    # tool settings
    warn_on_duplicate_tools: bool = True

    # prompt settings
    warn_on_duplicate_prompts: bool = True

    dependencies: list[str] = Field(
        default_factory=list,
        description="List of dependencies to install in the server environment",
    )

    lifespan: (
        Callable[["FastMCP"], AbstractAsyncContextManager[LifespanResultT]] | None
    ) = Field(None, description="Lifespan context manager")


def lifespan_wrapper(
    app: "FastMCP",
    lifespan: Callable[["FastMCP"], AbstractAsyncContextManager[LifespanResultT]],
) -> Callable[[MCPServer], AbstractAsyncContextManager[object]]:
    @asynccontextmanager
    async def wrap(s: MCPServer) -> AsyncIterator[object]:
        async with lifespan(app) as context:
            yield context

    return wrap


class FastMCP:
    def __init__(
        self, name: str | None = None, instructions: str | None = None, **settings: Any
    ):
        self.settings = Settings(**settings)

        self._mcp_server = MCPServer(
            name=name or "FastMCP",
            instructions=instructions,
            lifespan=lifespan_wrapper(self, self.settings.lifespan)
            if self.settings.lifespan
            else default_lifespan,
        )
        self._tool_manager = ToolManager(
            warn_on_duplicate_tools=self.settings.warn_on_duplicate_tools
        )
        self._resource_manager = ResourceManager(
            warn_on_duplicate_resources=self.settings.warn_on_duplicate_resources
        )
        self._prompt_manager = PromptManager(
            warn_on_duplicate_prompts=self.settings.warn_on_duplicate_prompts
        )
        self.dependencies = self.settings.dependencies

        # Set up MCP protocol handlers
        self._setup_handlers()

        # Configure logging
        configure_logging(self.settings.log_level)

    @property
    def name(self) -> str:
        return self._mcp_server.name

    @property
    def instructions(self) -> str | None:
        return self._mcp_server.instructions

    def run(self, transport: Literal["stdio", "sse"] = "stdio") -> None:
        """Run the FastMCP server. Note this is a synchronous function.

        Args:
            transport: Transport protocol to use ("stdio" or "sse")
        """
        TRANSPORTS = Literal["stdio", "sse"]
        if transport not in TRANSPORTS.__args__:  # type: ignore
            raise ValueError(f"Unknown transport: {transport}")

        if transport == "stdio":
            anyio.run(self.run_stdio_async)
        else:  # transport == "sse"
            anyio.run(self.run_sse_async)

    def _setup_handlers(self) -> None:
        """Set up core MCP protocol handlers."""
        self._mcp_server.list_tools()(self.list_tools)
        self._mcp_server.call_tool()(self.call_tool)
        self._mcp_server.list_resources()(self.list_resources)
        self._mcp_server.read_resource()(self.read_resource)
        self._mcp_server.list_prompts()(self.list_prompts)
        self._mcp_server.get_prompt()(self.get_prompt)
        self._mcp_server.list_resource_templates()(self.list_resource_templates)

    async def list_tools(self) -> list[MCPTool]:
        """List all available tools."""
        tools = self._tool_manager.list_tools()
        return [
            MCPTool(
                name=info.name,
                description=info.description,
                inputSchema=info.parameters,
            )
            for info in tools
        ]

    def get_context(self) -> "Context":
        """
        Returns a Context object. Note that the context will only be valid
        during a request; outside a request, most methods will error.
        """
        try:
            request_context = self._mcp_server.request_context
        except LookupError:
            request_context = None
        return Context(request_context=request_context, fastmcp=self)

    async def call_tool(
        self, name: str, arguments: dict[str, Any]
    ) -> Sequence[TextContent | ImageContent | EmbeddedResource]:
        """Call a tool by name with arguments."""
        context = self.get_context()
        result = await self._tool_manager.call_tool(name, arguments, context=context)
        converted_result = _convert_to_content(result)
        return converted_result

    async def list_resources(self) -> list[MCPResource]:
        """List all available resources."""

        resources = self._resource_manager.list_resources()
        return [
            MCPResource(
                uri=resource.uri,
                name=resource.name or "",
                description=resource.description,
                mimeType=resource.mime_type,
            )
            for resource in resources
        ]

    async def list_resource_templates(self) -> list[MCPResourceTemplate]:
        templates = self._resource_manager.list_templates()
        return [
            MCPResourceTemplate(
                uriTemplate=template.uri_template,
                name=template.name,
                description=template.description,
            )
            for template in templates
        ]

    async def read_resource(self, uri: AnyUrl | str) -> Iterable[ReadResourceContents]:
        """Read a resource by URI."""

        resource = await self._resource_manager.get_resource(uri)
        if not resource:
            raise ResourceError(f"Unknown resource: {uri}")

        try:
            content = await resource.read()
            return [ReadResourceContents(content=content, mime_type=resource.mime_type)]
        except Exception as e:
            logger.error(f"Error reading resource {uri}: {e}")
            raise ResourceError(str(e))

    def add_tool(
        self,
        fn: AnyFunction,
        name: str | None = None,
        description: str | None = None,
    ) -> None:
        """Add a tool to the server.

        The tool function can optionally request a Context object by adding a parameter
        with the Context type annotation. See the @tool decorator for examples.

        Args:
            fn: The function to register as a tool
            name: Optional name for the tool (defaults to function name)
            description: Optional description of what the tool does
        """
        self._tool_manager.add_tool(fn, name=name, description=description)

    def tool(
        self, name: str | None = None, description: str | None = None
    ) -> Callable[[AnyFunction], AnyFunction]:
        """Decorator to register a tool.

        Tools can optionally request a Context object by adding a parameter with the
        Context type annotation. The context provides access to MCP capabilities like
        logging, progress reporting, and resource access.

        Args:
            name: Optional name for the tool (defaults to function name)
            description: Optional description of what the tool does

        Example:
            @server.tool()
            def my_tool(x: int) -> str:
                return str(x)

            @server.tool()
            def tool_with_context(x: int, ctx: Context) -> str:
                ctx.info(f"Processing {x}")
                return str(x)

            @server.tool()
            async def async_tool(x: int, context: Context) -> str:
                await context.report_progress(50, 100)
                return str(x)
        """
        # Check if user passed function directly instead of calling decorator
        if callable(name):
            raise TypeError(
                "The @tool decorator was used incorrectly. "
                "Did you forget to call it? Use @tool() instead of @tool"
            )

        def decorator(fn: AnyFunction) -> AnyFunction:
            self.add_tool(fn, name=name, description=description)
            return fn

        return decorator

    def add_resource(self, resource: Resource) -> None:
        """Add a resource to the server.

        Args:
            resource: A Resource instance to add
        """
        self._resource_manager.add_resource(resource)

    def resource(
        self,
        uri: str,
        *,
        name: str | None = None,
        description: str | None = None,
        mime_type: str | None = None,
    ) -> Callable[[AnyFunction], AnyFunction]:
        """Decorator to register a function as a resource.

        The function will be called when the resource is read to generate its content.
        The function can return:
        - str for text content
        - bytes for binary content
        - other types will be converted to JSON

        If the URI contains parameters (e.g. "resource://{param}") or the function
        has parameters, it will be registered as a template resource.

        Args:
            uri: URI for the resource (e.g. "resource://my-resource" or "resource://{param}")
            name: Optional name for the resource
            description: Optional description of the resource
            mime_type: Optional MIME type for the resource

        Example:
            @server.resource("resource://my-resource")
            def get_data() -> str:
                return "Hello, world!"

            @server.resource("resource://my-resource")
            async get_data() -> str:
                data = await fetch_data()
                return f"Hello, world! {data}"

            @server.resource("resource://{city}/weather")
            def get_weather(city: str) -> str:
                return f"Weather for {city}"

            @server.resource("resource://{city}/weather")
            async def get_weather(city: str) -> str:
                data = await fetch_weather(city)
                return f"Weather for {city}: {data}"
        """
        # Check if user passed function directly instead of calling decorator
        if callable(uri):
            raise TypeError(
                "The @resource decorator was used incorrectly. "
                "Did you forget to call it? Use @resource('uri') instead of @resource"
            )

        def decorator(fn: AnyFunction) -> AnyFunction:
            # Check if this should be a template
            has_uri_params = "{" in uri and "}" in uri
            has_func_params = bool(inspect.signature(fn).parameters)

            if has_uri_params or has_func_params:
                # Validate that URI params match function params
                uri_params = set(re.findall(r"{(\w+)}", uri))
                func_params = set(inspect.signature(fn).parameters.keys())

                if uri_params != func_params:
                    raise ValueError(
                        f"Mismatch between URI parameters {uri_params} "
                        f"and function parameters {func_params}"
                    )

                # Register as template
                self._resource_manager.add_template(
                    fn=fn,
                    uri_template=uri,
                    name=name,
                    description=description,
                    mime_type=mime_type or "text/plain",
                )
            else:
                # Register as regular resource
                resource = FunctionResource(
                    uri=AnyUrl(uri),
                    name=name,
                    description=description,
                    mime_type=mime_type or "text/plain",
                    fn=fn,
                )
                self.add_resource(resource)
            return fn

        return decorator

    def add_prompt(self, prompt: Prompt) -> None:
        """Add a prompt to the server.

        Args:
            prompt: A Prompt instance to add
        """
        self._prompt_manager.add_prompt(prompt)

    def prompt(
        self, name: str | None = None, description: str | None = None
    ) -> Callable[[AnyFunction], AnyFunction]:
        """Decorator to register a prompt.

        Args:
            name: Optional name for the prompt (defaults to function name)
            description: Optional description of what the prompt does

        Example:
            @server.prompt()
            def analyze_table(table_name: str) -> list[Message]:
                schema = read_table_schema(table_name)
                return [
                    {
                        "role": "user",
                        "content": f"Analyze this schema:\n{schema}"
                    }
                ]

            @server.prompt()
            async def analyze_file(path: str) -> list[Message]:
                content = await read_file(path)
                return [
                    {
                        "role": "user",
                        "content": {
                            "type": "resource",
                            "resource": {
                                "uri": f"file://{path}",
                                "text": content
                            }
                        }
                    }
                ]
        """
        # Check if user passed function directly instead of calling decorator
        if callable(name):
            raise TypeError(
                "The @prompt decorator was used incorrectly. "
                "Did you forget to call it? Use @prompt() instead of @prompt"
            )

        def decorator(func: AnyFunction) -> AnyFunction:
            prompt = Prompt.from_function(func, name=name, description=description)
            self.add_prompt(prompt)
            return func

        return decorator

    async def run_stdio_async(self) -> None:
        """Run the server using stdio transport."""
        async with stdio_server() as (read_stream, write_stream):
            await self._mcp_server.run(
                read_stream,
                write_stream,
                self._mcp_server.create_initialization_options(),
            )

    async def run_sse_async(self) -> None:
        """Run the server using SSE transport."""
        from starlette.applications import Starlette
        from starlette.routing import Mount, Route

        sse = SseServerTransport("/messages/")

        async def handle_sse(request):
            async with sse.connect_sse(
                request.scope, request.receive, request._send
            ) as streams:
                await self._mcp_server.run(
                    streams[0],
                    streams[1],
                    self._mcp_server.create_initialization_options(),
                )

        starlette_app = Starlette(
            debug=self.settings.debug,
            routes=[
                Route("/sse", endpoint=handle_sse),
                Mount("/messages/", app=sse.handle_post_message),
            ],
        )

        config = uvicorn.Config(
            starlette_app,
            host=self.settings.host,
            port=self.settings.port,
            log_level=self.settings.log_level.lower(),
        )
        server = uvicorn.Server(config)
        await server.serve()

    async def list_prompts(self) -> list[MCPPrompt]:
        """List all available prompts."""
        prompts = self._prompt_manager.list_prompts()
        return [
            MCPPrompt(
                name=prompt.name,
                description=prompt.description,
                arguments=[
                    MCPPromptArgument(
                        name=arg.name,
                        description=arg.description,
                        required=arg.required,
                    )
                    for arg in (prompt.arguments or [])
                ],
            )
            for prompt in prompts
        ]

    async def get_prompt(
        self, name: str, arguments: dict[str, Any] | None = None
    ) -> GetPromptResult:
        """Get a prompt by name with arguments."""
        try:
            messages = await self._prompt_manager.render_prompt(name, arguments)

            return GetPromptResult(messages=pydantic_core.to_jsonable_python(messages))
        except Exception as e:
            logger.error(f"Error getting prompt {name}: {e}")
            raise ValueError(str(e))


def _convert_to_content(
    result: Any,
) -> Sequence[TextContent | ImageContent | EmbeddedResource]:
    """Convert a result to a sequence of content objects."""
    if result is None:
        return []

    if isinstance(result, (TextContent, ImageContent, EmbeddedResource)):
        return [result]

    if isinstance(result, Image):
        return [result.to_image_content()]

    if isinstance(result, (list, tuple)):
        return list(chain.from_iterable(_convert_to_content(item) for item in result))

    if not isinstance(result, str):
        try:
            result = json.dumps(pydantic_core.to_jsonable_python(result))
        except Exception:
            result = str(result)

    return [TextContent(type="text", text=result)]


class Context(BaseModel):
    """Context object providing access to MCP capabilities.

    This provides a cleaner interface to MCP's RequestContext functionality.
    It gets injected into tool and resource functions that request it via type hints.

    To use context in a tool function, add a parameter with the Context type annotation:

    ```python
    @server.tool()
    def my_tool(x: int, ctx: Context) -> str:
        # Log messages to the client
        ctx.info(f"Processing {x}")
        ctx.debug("Debug info")
        ctx.warning("Warning message")
        ctx.error("Error message")

        # Report progress
        ctx.report_progress(50, 100)

        # Access resources
        data = ctx.read_resource("resource://data")

        # Get request info
        request_id = ctx.request_id
        client_id = ctx.client_id

        return str(x)
    ```

    The context parameter name can be anything as long as it's annotated with Context.
    The context is optional - tools that don't need it can omit the parameter.
    """

    _request_context: RequestContext[ServerSession, Any] | None
    _fastmcp: FastMCP | None

    def __init__(
        self,
        *,
        request_context: RequestContext | None = None,
        fastmcp: FastMCP | None = None,
        **kwargs: Any,
    ):
        super().__init__(**kwargs)
        self._request_context = request_context
        self._fastmcp = fastmcp

    @property
    def fastmcp(self) -> FastMCP:
        """Access to the FastMCP server."""
        if self._fastmcp is None:
            raise ValueError("Context is not available outside of a request")
        return self._fastmcp

    @property
    def request_context(self) -> RequestContext:
        """Access to the underlying request context."""
        if self._request_context is None:
            raise ValueError("Context is not available outside of a request")
        return self._request_context

    async def report_progress(
        self, progress: float, total: float | None = None
    ) -> None:
        """Report progress for the current operation.

        Args:
            progress: Current progress value e.g. 24
            total: Optional total value e.g. 100
        """

        progress_token = (
            self.request_context.meta.progressToken
            if self.request_context.meta
            else None
        )

        if progress_token is None:
            return

        await self.request_context.session.send_progress_notification(
            progress_token=progress_token, progress=progress, total=total
        )

    async def read_resource(self, uri: str | AnyUrl) -> Iterable[ReadResourceContents]:
        """Read a resource by URI.

        Args:
            uri: Resource URI to read

        Returns:
            The resource content as either text or bytes
        """
        assert (
            self._fastmcp is not None
        ), "Context is not available outside of a request"
        return await self._fastmcp.read_resource(uri)

    async def log(
        self,
        level: Literal["debug", "info", "warning", "error"],
        message: str,
        *,
        logger_name: str | None = None,
    ) -> None:
        """Send a log message to the client.

        Args:
            level: Log level (debug, info, warning, error)
            message: Log message
            logger_name: Optional logger name
            **extra: Additional structured data to include
        """
        await self.request_context.session.send_log_message(
            level=level, data=message, logger=logger_name
        )

    @property
    def client_id(self) -> str | None:
        """Get the client ID if available."""
        return (
            getattr(self.request_context.meta, "client_id", None)
            if self.request_context.meta
            else None
        )

    @property
    def request_id(self) -> str:
        """Get the unique ID for this request."""
        return str(self.request_context.request_id)

    @property
    def session(self):
        """Access to the underlying session for advanced usage."""
        return self.request_context.session

    # Convenience methods for common log levels
    async def debug(self, message: str, **extra: Any) -> None:
        """Send a debug log message."""
        await self.log("debug", message, **extra)

    async def info(self, message: str, **extra: Any) -> None:
        """Send an info log message."""
        await self.log("info", message, **extra)

    async def warning(self, message: str, **extra: Any) -> None:
        """Send a warning log message."""
        await self.log("warning", message, **extra)

    async def error(self, message: str, **extra: Any) -> None:
        """Send an error log message."""
        await self.log("error", message, **extra)

========================================
File: "src/mcp/server/lowlevel/server.py"
Size: 21148 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""
MCP Server Module

This module provides a framework for creating an MCP (Model Context Protocol) server.
It allows you to easily define and handle various types of requests and notifications
in an asynchronous manner.

Usage:
1. Create a Server instance:
   server = Server("your_server_name")

2. Define request handlers using decorators:
   @server.list_prompts()
   async def handle_list_prompts() -> list[types.Prompt]:
       # Implementation

   @server.get_prompt()
   async def handle_get_prompt(
       name: str, arguments: dict[str, str] | None
   ) -> types.GetPromptResult:
       # Implementation

   @server.list_tools()
   async def handle_list_tools() -> list[types.Tool]:
       # Implementation

   @server.call_tool()
   async def handle_call_tool(
       name: str, arguments: dict | None
   ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
       # Implementation

   @server.list_resource_templates()
   async def handle_list_resource_templates() -> list[types.ResourceTemplate]:
       # Implementation

3. Define notification handlers if needed:
   @server.progress_notification()
   async def handle_progress(
       progress_token: str | int, progress: float, total: float | None
   ) -> None:
       # Implementation

4. Run the server:
   async def main():
       async with mcp.server.stdio.stdio_server() as (read_stream, write_stream):
           await server.run(
               read_stream,
               write_stream,
               InitializationOptions(
                   server_name="your_server_name",
                   server_version="your_version",
                   capabilities=server.get_capabilities(
                       notification_options=NotificationOptions(),
                       experimental_capabilities={},
                   ),
               ),
           )

   asyncio.run(main())

The Server class provides methods to register handlers for various MCP requests and
notifications. It automatically manages the request context and handles incoming
messages from the client.
"""

import contextvars
import logging
import warnings
from collections.abc import Awaitable, Callable, Iterable
from contextlib import AbstractAsyncContextManager, AsyncExitStack, asynccontextmanager
from typing import Any, AsyncIterator, Generic, TypeVar

import anyio
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
from pydantic import AnyUrl

import mcp.types as types
from mcp.server.lowlevel.helper_types import ReadResourceContents
from mcp.server.models import InitializationOptions
from mcp.server.session import ServerSession
from mcp.server.stdio import stdio_server as stdio_server
from mcp.shared.context import RequestContext
from mcp.shared.exceptions import McpError
from mcp.shared.session import RequestResponder

logger = logging.getLogger(__name__)

LifespanResultT = TypeVar("LifespanResultT")

# This will be properly typed in each Server instance's context
request_ctx: contextvars.ContextVar[RequestContext[ServerSession, Any]] = (
    contextvars.ContextVar("request_ctx")
)


class NotificationOptions:
    def __init__(
        self,
        prompts_changed: bool = False,
        resources_changed: bool = False,
        tools_changed: bool = False,
    ):
        self.prompts_changed = prompts_changed
        self.resources_changed = resources_changed
        self.tools_changed = tools_changed


@asynccontextmanager
async def lifespan(server: "Server") -> AsyncIterator[object]:
    """Default lifespan context manager that does nothing.

    Args:
        server: The server instance this lifespan is managing

    Returns:
        An empty context object
    """
    yield {}


class Server(Generic[LifespanResultT]):
    def __init__(
        self,
        name: str,
        version: str | None = None,
        instructions: str | None = None,
        lifespan: Callable[
            ["Server"], AbstractAsyncContextManager[LifespanResultT]
        ] = lifespan,
    ):
        self.name = name
        self.version = version
        self.instructions = instructions
        self.lifespan = lifespan
        self.request_handlers: dict[
            type, Callable[..., Awaitable[types.ServerResult]]
        ] = {
            types.PingRequest: _ping_handler,
        }
        self.notification_handlers: dict[type, Callable[..., Awaitable[None]]] = {}
        self.notification_options = NotificationOptions()
        logger.debug(f"Initializing server '{name}'")

    def create_initialization_options(
        self,
        notification_options: NotificationOptions | None = None,
        experimental_capabilities: dict[str, dict[str, Any]] | None = None,
    ) -> InitializationOptions:
        """Create initialization options from this server instance."""

        def pkg_version(package: str) -> str:
            try:
                from importlib.metadata import version

                v = version(package)
                if v is not None:
                    return v
            except Exception:
                pass

            return "unknown"

        return InitializationOptions(
            server_name=self.name,
            server_version=self.version if self.version else pkg_version("mcp"),
            capabilities=self.get_capabilities(
                notification_options or NotificationOptions(),
                experimental_capabilities or {},
            ),
            instructions=self.instructions,
        )

    def get_capabilities(
        self,
        notification_options: NotificationOptions,
        experimental_capabilities: dict[str, dict[str, Any]],
    ) -> types.ServerCapabilities:
        """Convert existing handlers to a ServerCapabilities object."""
        prompts_capability = None
        resources_capability = None
        tools_capability = None
        logging_capability = None

        # Set prompt capabilities if handler exists
        if types.ListPromptsRequest in self.request_handlers:
            prompts_capability = types.PromptsCapability(
                listChanged=notification_options.prompts_changed
            )

        # Set resource capabilities if handler exists
        if types.ListResourcesRequest in self.request_handlers:
            resources_capability = types.ResourcesCapability(
                subscribe=False, listChanged=notification_options.resources_changed
            )

        # Set tool capabilities if handler exists
        if types.ListToolsRequest in self.request_handlers:
            tools_capability = types.ToolsCapability(
                listChanged=notification_options.tools_changed
            )

        # Set logging capabilities if handler exists
        if types.SetLevelRequest in self.request_handlers:
            logging_capability = types.LoggingCapability()

        return types.ServerCapabilities(
            prompts=prompts_capability,
            resources=resources_capability,
            tools=tools_capability,
            logging=logging_capability,
            experimental=experimental_capabilities,
        )

    @property
    def request_context(self) -> RequestContext[ServerSession, LifespanResultT]:
        """If called outside of a request context, this will raise a LookupError."""
        return request_ctx.get()

    def list_prompts(self):
        def decorator(func: Callable[[], Awaitable[list[types.Prompt]]]):
            logger.debug("Registering handler for PromptListRequest")

            async def handler(_: Any):
                prompts = await func()
                return types.ServerResult(types.ListPromptsResult(prompts=prompts))

            self.request_handlers[types.ListPromptsRequest] = handler
            return func

        return decorator

    def get_prompt(self):
        def decorator(
            func: Callable[
                [str, dict[str, str] | None], Awaitable[types.GetPromptResult]
            ],
        ):
            logger.debug("Registering handler for GetPromptRequest")

            async def handler(req: types.GetPromptRequest):
                prompt_get = await func(req.params.name, req.params.arguments)
                return types.ServerResult(prompt_get)

            self.request_handlers[types.GetPromptRequest] = handler
            return func

        return decorator

    def list_resources(self):
        def decorator(func: Callable[[], Awaitable[list[types.Resource]]]):
            logger.debug("Registering handler for ListResourcesRequest")

            async def handler(_: Any):
                resources = await func()
                return types.ServerResult(
                    types.ListResourcesResult(resources=resources)
                )

            self.request_handlers[types.ListResourcesRequest] = handler
            return func

        return decorator

    def list_resource_templates(self):
        def decorator(func: Callable[[], Awaitable[list[types.ResourceTemplate]]]):
            logger.debug("Registering handler for ListResourceTemplatesRequest")

            async def handler(_: Any):
                templates = await func()
                return types.ServerResult(
                    types.ListResourceTemplatesResult(resourceTemplates=templates)
                )

            self.request_handlers[types.ListResourceTemplatesRequest] = handler
            return func

        return decorator

    def read_resource(self):
        def decorator(
            func: Callable[
                [AnyUrl], Awaitable[str | bytes | Iterable[ReadResourceContents]]
            ],
        ):
            logger.debug("Registering handler for ReadResourceRequest")

            async def handler(req: types.ReadResourceRequest):
                result = await func(req.params.uri)

                def create_content(data: str | bytes, mime_type: str | None):
                    match data:
                        case str() as data:
                            return types.TextResourceContents(
                                uri=req.params.uri,
                                text=data,
                                mimeType=mime_type or "text/plain",
                            )
                        case bytes() as data:
                            import base64

                            return types.BlobResourceContents(
                                uri=req.params.uri,
                                blob=base64.urlsafe_b64encode(data).decode(),
                                mimeType=mime_type or "application/octet-stream",
                            )

                match result:
                    case str() | bytes() as data:
                        warnings.warn(
                            "Returning str or bytes from read_resource is deprecated. "
                            "Use Iterable[ReadResourceContents] instead.",
                            DeprecationWarning,
                            stacklevel=2,
                        )
                        content = create_content(data, None)
                    case Iterable() as contents:
                        contents_list = [
                            create_content(content_item.content, content_item.mime_type)
                            for content_item in contents
                            if isinstance(content_item, ReadResourceContents)
                        ]
                        return types.ServerResult(
                            types.ReadResourceResult(
                                contents=contents_list,
                            )
                        )
                    case _:
                        raise ValueError(
                            f"Unexpected return type from read_resource: {type(result)}"
                        )

                return types.ServerResult(
                    types.ReadResourceResult(
                        contents=[content],
                    )
                )

            self.request_handlers[types.ReadResourceRequest] = handler
            return func

        return decorator

    def set_logging_level(self):
        def decorator(func: Callable[[types.LoggingLevel], Awaitable[None]]):
            logger.debug("Registering handler for SetLevelRequest")

            async def handler(req: types.SetLevelRequest):
                await func(req.params.level)
                return types.ServerResult(types.EmptyResult())

            self.request_handlers[types.SetLevelRequest] = handler
            return func

        return decorator

    def subscribe_resource(self):
        def decorator(func: Callable[[AnyUrl], Awaitable[None]]):
            logger.debug("Registering handler for SubscribeRequest")

            async def handler(req: types.SubscribeRequest):
                await func(req.params.uri)
                return types.ServerResult(types.EmptyResult())

            self.request_handlers[types.SubscribeRequest] = handler
            return func

        return decorator

    def unsubscribe_resource(self):
        def decorator(func: Callable[[AnyUrl], Awaitable[None]]):
            logger.debug("Registering handler for UnsubscribeRequest")

            async def handler(req: types.UnsubscribeRequest):
                await func(req.params.uri)
                return types.ServerResult(types.EmptyResult())

            self.request_handlers[types.UnsubscribeRequest] = handler
            return func

        return decorator

    def list_tools(self):
        def decorator(func: Callable[[], Awaitable[list[types.Tool]]]):
            logger.debug("Registering handler for ListToolsRequest")

            async def handler(_: Any):
                tools = await func()
                return types.ServerResult(types.ListToolsResult(tools=tools))

            self.request_handlers[types.ListToolsRequest] = handler
            return func

        return decorator

    def call_tool(self):
        def decorator(
            func: Callable[
                ...,
                Awaitable[
                    Iterable[
                        types.TextContent | types.ImageContent | types.EmbeddedResource
                    ]
                ],
            ],
        ):
            logger.debug("Registering handler for CallToolRequest")

            async def handler(req: types.CallToolRequest):
                try:
                    results = await func(req.params.name, (req.params.arguments or {}))
                    return types.ServerResult(
                        types.CallToolResult(content=list(results), isError=False)
                    )
                except Exception as e:
                    return types.ServerResult(
                        types.CallToolResult(
                            content=[types.TextContent(type="text", text=str(e))],
                            isError=True,
                        )
                    )

            self.request_handlers[types.CallToolRequest] = handler
            return func

        return decorator

    def progress_notification(self):
        def decorator(
            func: Callable[[str | int, float, float | None], Awaitable[None]],
        ):
            logger.debug("Registering handler for ProgressNotification")

            async def handler(req: types.ProgressNotification):
                await func(
                    req.params.progressToken, req.params.progress, req.params.total
                )

            self.notification_handlers[types.ProgressNotification] = handler
            return func

        return decorator

    def completion(self):
        """Provides completions for prompts and resource templates"""

        def decorator(
            func: Callable[
                [
                    types.PromptReference | types.ResourceReference,
                    types.CompletionArgument,
                ],
                Awaitable[types.Completion | None],
            ],
        ):
            logger.debug("Registering handler for CompleteRequest")

            async def handler(req: types.CompleteRequest):
                completion = await func(req.params.ref, req.params.argument)
                return types.ServerResult(
                    types.CompleteResult(
                        completion=completion
                        if completion is not None
                        else types.Completion(values=[], total=None, hasMore=None),
                    )
                )

            self.request_handlers[types.CompleteRequest] = handler
            return func

        return decorator

    async def run(
        self,
        read_stream: MemoryObjectReceiveStream[types.JSONRPCMessage | Exception],
        write_stream: MemoryObjectSendStream[types.JSONRPCMessage],
        initialization_options: InitializationOptions,
        # When False, exceptions are returned as messages to the client.
        # When True, exceptions are raised, which will cause the server to shut down
        # but also make tracing exceptions much easier during testing and when using
        # in-process servers.
        raise_exceptions: bool = False,
    ):
        async with AsyncExitStack() as stack:
            lifespan_context = await stack.enter_async_context(self.lifespan(self))
            session = await stack.enter_async_context(
                ServerSession(read_stream, write_stream, initialization_options)
            )

            async with anyio.create_task_group() as tg:
                async for message in session.incoming_messages:
                    logger.debug(f"Received message: {message}")

                    tg.start_soon(
                        self._handle_message,
                        message,
                        session,
                        lifespan_context,
                        raise_exceptions,
                    )

    async def _handle_message(
        self,
        message: RequestResponder[types.ClientRequest, types.ServerResult]
        | types.ClientNotification
        | Exception,
        session: ServerSession,
        lifespan_context: LifespanResultT,
        raise_exceptions: bool = False,
    ):
        with warnings.catch_warnings(record=True) as w:
            match message:
                case (
                    RequestResponder(request=types.ClientRequest(root=req)) as responder
                ):
                    with responder:
                        await self._handle_request(
                            message, req, session, lifespan_context, raise_exceptions
                        )
                case types.ClientNotification(root=notify):
                    await self._handle_notification(notify)

            for warning in w:
                logger.info(f"Warning: {warning.category.__name__}: {warning.message}")

    async def _handle_request(
        self,
        message: RequestResponder,
        req: Any,
        session: ServerSession,
        lifespan_context: LifespanResultT,
        raise_exceptions: bool,
    ):
        logger.info(f"Processing request of type {type(req).__name__}")
        if type(req) in self.request_handlers:
            handler = self.request_handlers[type(req)]
            logger.debug(f"Dispatching request of type {type(req).__name__}")

            token = None
            try:
                # Set our global state that can be retrieved via
                # app.get_request_context()
                token = request_ctx.set(
                    RequestContext(
                        message.request_id,
                        message.request_meta,
                        session,
                        lifespan_context,
                    )
                )
                response = await handler(req)
            except McpError as err:
                response = err.error
            except Exception as err:
                if raise_exceptions:
                    raise err
                response = types.ErrorData(code=0, message=str(err), data=None)
            finally:
                # Reset the global state after we are done
                if token is not None:
                    request_ctx.reset(token)

            await message.respond(response)
        else:
            await message.respond(
                types.ErrorData(
                    code=types.METHOD_NOT_FOUND,
                    message="Method not found",
                )
            )

        logger.debug("Response sent")

    async def _handle_notification(self, notify: Any):
        if type(notify) in self.notification_handlers:
            assert type(notify) in self.notification_handlers

            handler = self.notification_handlers[type(notify)]
            logger.debug(
                f"Dispatching notification of type " f"{type(notify).__name__}"
            )

            try:
                await handler(notify)
            except Exception as err:
                logger.error(f"Uncaught exception in notification handler: " f"{err}")


async def _ping_handler(request: types.PingRequest) -> types.ServerResult:
    return types.ServerResult(types.EmptyResult())

========================================
File: "src/mcp/client/session.py"
Size: 11199 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from datetime import timedelta
from typing import Any, Protocol

from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
from pydantic import AnyUrl, TypeAdapter

import mcp.types as types
from mcp.shared.context import RequestContext
from mcp.shared.session import BaseSession, RequestResponder
from mcp.shared.version import SUPPORTED_PROTOCOL_VERSIONS


class SamplingFnT(Protocol):
    async def __call__(
        self,
        context: RequestContext["ClientSession", Any],
        params: types.CreateMessageRequestParams,
    ) -> types.CreateMessageResult | types.ErrorData: ...


class ListRootsFnT(Protocol):
    async def __call__(
        self, context: RequestContext["ClientSession", Any]
    ) -> types.ListRootsResult | types.ErrorData: ...


async def _default_sampling_callback(
    context: RequestContext["ClientSession", Any],
    params: types.CreateMessageRequestParams,
) -> types.CreateMessageResult | types.ErrorData:
    return types.ErrorData(
        code=types.INVALID_REQUEST,
        message="Sampling not supported",
    )


async def _default_list_roots_callback(
    context: RequestContext["ClientSession", Any],
) -> types.ListRootsResult | types.ErrorData:
    return types.ErrorData(
        code=types.INVALID_REQUEST,
        message="List roots not supported",
    )


ClientResponse = TypeAdapter(types.ClientResult | types.ErrorData)


class ClientSession(
    BaseSession[
        types.ClientRequest,
        types.ClientNotification,
        types.ClientResult,
        types.ServerRequest,
        types.ServerNotification,
    ]
):
    def __init__(
        self,
        read_stream: MemoryObjectReceiveStream[types.JSONRPCMessage | Exception],
        write_stream: MemoryObjectSendStream[types.JSONRPCMessage],
        read_timeout_seconds: timedelta | None = None,
        sampling_callback: SamplingFnT | None = None,
        list_roots_callback: ListRootsFnT | None = None,
    ) -> None:
        super().__init__(
            read_stream,
            write_stream,
            types.ServerRequest,
            types.ServerNotification,
            read_timeout_seconds=read_timeout_seconds,
        )
        self._sampling_callback = sampling_callback or _default_sampling_callback
        self._list_roots_callback = list_roots_callback or _default_list_roots_callback

    async def initialize(self) -> types.InitializeResult:
        sampling = (
            types.SamplingCapability() if self._sampling_callback is not None else None
        )
        roots = (
            types.RootsCapability(
                # TODO: Should this be based on whether we
                # _will_ send notifications, or only whether
                # they're supported?
                listChanged=True,
            )
            if self._list_roots_callback is not None
            else None
        )

        result = await self.send_request(
            types.ClientRequest(
                types.InitializeRequest(
                    method="initialize",
                    params=types.InitializeRequestParams(
                        protocolVersion=types.LATEST_PROTOCOL_VERSION,
                        capabilities=types.ClientCapabilities(
                            sampling=sampling,
                            experimental=None,
                            roots=roots,
                        ),
                        clientInfo=types.Implementation(name="mcp", version="0.1.0"),
                    ),
                )
            ),
            types.InitializeResult,
        )

        if result.protocolVersion not in SUPPORTED_PROTOCOL_VERSIONS:
            raise RuntimeError(
                "Unsupported protocol version from the server: "
                f"{result.protocolVersion}"
            )

        await self.send_notification(
            types.ClientNotification(
                types.InitializedNotification(method="notifications/initialized")
            )
        )

        return result

    async def send_ping(self) -> types.EmptyResult:
        """Send a ping request."""
        return await self.send_request(
            types.ClientRequest(
                types.PingRequest(
                    method="ping",
                )
            ),
            types.EmptyResult,
        )

    async def send_progress_notification(
        self, progress_token: str | int, progress: float, total: float | None = None
    ) -> None:
        """Send a progress notification."""
        await self.send_notification(
            types.ClientNotification(
                types.ProgressNotification(
                    method="notifications/progress",
                    params=types.ProgressNotificationParams(
                        progressToken=progress_token,
                        progress=progress,
                        total=total,
                    ),
                ),
            )
        )

    async def set_logging_level(self, level: types.LoggingLevel) -> types.EmptyResult:
        """Send a logging/setLevel request."""
        return await self.send_request(
            types.ClientRequest(
                types.SetLevelRequest(
                    method="logging/setLevel",
                    params=types.SetLevelRequestParams(level=level),
                )
            ),
            types.EmptyResult,
        )

    async def list_resources(self) -> types.ListResourcesResult:
        """Send a resources/list request."""
        return await self.send_request(
            types.ClientRequest(
                types.ListResourcesRequest(
                    method="resources/list",
                )
            ),
            types.ListResourcesResult,
        )

    async def list_resource_templates(self) -> types.ListResourceTemplatesResult:
        """Send a resources/templates/list request."""
        return await self.send_request(
            types.ClientRequest(
                types.ListResourceTemplatesRequest(
                    method="resources/templates/list",
                )
            ),
            types.ListResourceTemplatesResult,
        )

    async def read_resource(self, uri: AnyUrl) -> types.ReadResourceResult:
        """Send a resources/read request."""
        return await self.send_request(
            types.ClientRequest(
                types.ReadResourceRequest(
                    method="resources/read",
                    params=types.ReadResourceRequestParams(uri=uri),
                )
            ),
            types.ReadResourceResult,
        )

    async def subscribe_resource(self, uri: AnyUrl) -> types.EmptyResult:
        """Send a resources/subscribe request."""
        return await self.send_request(
            types.ClientRequest(
                types.SubscribeRequest(
                    method="resources/subscribe",
                    params=types.SubscribeRequestParams(uri=uri),
                )
            ),
            types.EmptyResult,
        )

    async def unsubscribe_resource(self, uri: AnyUrl) -> types.EmptyResult:
        """Send a resources/unsubscribe request."""
        return await self.send_request(
            types.ClientRequest(
                types.UnsubscribeRequest(
                    method="resources/unsubscribe",
                    params=types.UnsubscribeRequestParams(uri=uri),
                )
            ),
            types.EmptyResult,
        )

    async def call_tool(
        self, name: str, arguments: dict | None = None
    ) -> types.CallToolResult:
        """Send a tools/call request."""
        return await self.send_request(
            types.ClientRequest(
                types.CallToolRequest(
                    method="tools/call",
                    params=types.CallToolRequestParams(name=name, arguments=arguments),
                )
            ),
            types.CallToolResult,
        )

    async def list_prompts(self) -> types.ListPromptsResult:
        """Send a prompts/list request."""
        return await self.send_request(
            types.ClientRequest(
                types.ListPromptsRequest(
                    method="prompts/list",
                )
            ),
            types.ListPromptsResult,
        )

    async def get_prompt(
        self, name: str, arguments: dict[str, str] | None = None
    ) -> types.GetPromptResult:
        """Send a prompts/get request."""
        return await self.send_request(
            types.ClientRequest(
                types.GetPromptRequest(
                    method="prompts/get",
                    params=types.GetPromptRequestParams(name=name, arguments=arguments),
                )
            ),
            types.GetPromptResult,
        )

    async def complete(
        self, ref: types.ResourceReference | types.PromptReference, argument: dict
    ) -> types.CompleteResult:
        """Send a completion/complete request."""
        return await self.send_request(
            types.ClientRequest(
                types.CompleteRequest(
                    method="completion/complete",
                    params=types.CompleteRequestParams(
                        ref=ref,
                        argument=types.CompletionArgument(**argument),
                    ),
                )
            ),
            types.CompleteResult,
        )

    async def list_tools(self) -> types.ListToolsResult:
        """Send a tools/list request."""
        return await self.send_request(
            types.ClientRequest(
                types.ListToolsRequest(
                    method="tools/list",
                )
            ),
            types.ListToolsResult,
        )

    async def send_roots_list_changed(self) -> None:
        """Send a roots/list_changed notification."""
        await self.send_notification(
            types.ClientNotification(
                types.RootsListChangedNotification(
                    method="notifications/roots/list_changed",
                )
            )
        )

    async def _received_request(
        self, responder: RequestResponder[types.ServerRequest, types.ClientResult]
    ) -> None:
        ctx = RequestContext[ClientSession, Any](
            request_id=responder.request_id,
            meta=responder.request_meta,
            session=self,
            lifespan_context=None,
        )

        match responder.request.root:
            case types.CreateMessageRequest(params=params):
                with responder:
                    response = await self._sampling_callback(ctx, params)
                    client_response = ClientResponse.validate_python(response)
                    await responder.respond(client_response)

            case types.ListRootsRequest():
                with responder:
                    response = await self._list_roots_callback(ctx)
                    client_response = ClientResponse.validate_python(response)
                    await responder.respond(client_response)

            case types.PingRequest():
                with responder:
                    return await responder.respond(
                        types.ClientResult(root=types.EmptyResult())
                    )

========================================
File: "src/mcp/server/session.py"
Size: 10529 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""
ServerSession Module

This module provides the ServerSession class, which manages communication between the
server and client in the MCP (Model Context Protocol) framework. It is most commonly
used in MCP servers to interact with the client.

Common usage pattern:
```
    server = Server(name)

    @server.call_tool()
    async def handle_tool_call(ctx: RequestContext, arguments: dict[str, Any]) -> Any:
        # Check client capabilities before proceeding
        if ctx.session.check_client_capability(
            types.ClientCapabilities(experimental={"advanced_tools": dict()})
        ):
            # Perform advanced tool operations
            result = await perform_advanced_tool_operation(arguments)
        else:
            # Fall back to basic tool operations
            result = await perform_basic_tool_operation(arguments)

        return result

    @server.list_prompts()
    async def handle_list_prompts(ctx: RequestContext) -> list[types.Prompt]:
        # Access session for any necessary checks or operations
        if ctx.session.client_params:
            # Customize prompts based on client initialization parameters
            return generate_custom_prompts(ctx.session.client_params)
        else:
            return default_prompts
```

The ServerSession class is typically used internally by the Server class and should not
be instantiated directly by users of the MCP framework.
"""

from enum import Enum
from typing import Any

import anyio
import anyio.lowlevel
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
from pydantic import AnyUrl

import mcp.types as types
from mcp.server.models import InitializationOptions
from mcp.shared.session import (
    BaseSession,
    RequestResponder,
)


class InitializationState(Enum):
    NotInitialized = 1
    Initializing = 2
    Initialized = 3


class ServerSession(
    BaseSession[
        types.ServerRequest,
        types.ServerNotification,
        types.ServerResult,
        types.ClientRequest,
        types.ClientNotification,
    ]
):
    _initialized: InitializationState = InitializationState.NotInitialized
    _client_params: types.InitializeRequestParams | None = None

    def __init__(
        self,
        read_stream: MemoryObjectReceiveStream[types.JSONRPCMessage | Exception],
        write_stream: MemoryObjectSendStream[types.JSONRPCMessage],
        init_options: InitializationOptions,
    ) -> None:
        super().__init__(
            read_stream, write_stream, types.ClientRequest, types.ClientNotification
        )
        self._initialization_state = InitializationState.NotInitialized
        self._init_options = init_options

    @property
    def client_params(self) -> types.InitializeRequestParams | None:
        return self._client_params

    def check_client_capability(self, capability: types.ClientCapabilities) -> bool:
        """Check if the client supports a specific capability."""
        if self._client_params is None:
            return False

        # Get client capabilities from initialization params
        client_caps = self._client_params.capabilities

        # Check each specified capability in the passed in capability object
        if capability.roots is not None:
            if client_caps.roots is None:
                return False
            if capability.roots.listChanged and not client_caps.roots.listChanged:
                return False

        if capability.sampling is not None:
            if client_caps.sampling is None:
                return False

        if capability.experimental is not None:
            if client_caps.experimental is None:
                return False
            # Check each experimental capability
            for exp_key, exp_value in capability.experimental.items():
                if (
                    exp_key not in client_caps.experimental
                    or client_caps.experimental[exp_key] != exp_value
                ):
                    return False

        return True

    async def _received_request(
        self, responder: RequestResponder[types.ClientRequest, types.ServerResult]
    ):
        match responder.request.root:
            case types.InitializeRequest(params=params):
                self._initialization_state = InitializationState.Initializing
                self._client_params = params
                with responder:
                    await responder.respond(
                        types.ServerResult(
                            types.InitializeResult(
                                protocolVersion=types.LATEST_PROTOCOL_VERSION,
                                capabilities=self._init_options.capabilities,
                                serverInfo=types.Implementation(
                                    name=self._init_options.server_name,
                                    version=self._init_options.server_version,
                                ),
                                instructions=self._init_options.instructions,
                            )
                        )
                    )
            case _:
                if self._initialization_state != InitializationState.Initialized:
                    raise RuntimeError(
                        "Received request before initialization was complete"
                    )

    async def _received_notification(
        self, notification: types.ClientNotification
    ) -> None:
        # Need this to avoid ASYNC910
        await anyio.lowlevel.checkpoint()
        match notification.root:
            case types.InitializedNotification():
                self._initialization_state = InitializationState.Initialized
            case _:
                if self._initialization_state != InitializationState.Initialized:
                    raise RuntimeError(
                        "Received notification before initialization was complete"
                    )

    async def send_log_message(
        self, level: types.LoggingLevel, data: Any, logger: str | None = None
    ) -> None:
        """Send a log message notification."""
        await self.send_notification(
            types.ServerNotification(
                types.LoggingMessageNotification(
                    method="notifications/message",
                    params=types.LoggingMessageNotificationParams(
                        level=level,
                        data=data,
                        logger=logger,
                    ),
                )
            )
        )

    async def send_resource_updated(self, uri: AnyUrl) -> None:
        """Send a resource updated notification."""
        await self.send_notification(
            types.ServerNotification(
                types.ResourceUpdatedNotification(
                    method="notifications/resources/updated",
                    params=types.ResourceUpdatedNotificationParams(uri=uri),
                )
            )
        )

    async def create_message(
        self,
        messages: list[types.SamplingMessage],
        *,
        max_tokens: int,
        system_prompt: str | None = None,
        include_context: types.IncludeContext | None = None,
        temperature: float | None = None,
        stop_sequences: list[str] | None = None,
        metadata: dict[str, Any] | None = None,
        model_preferences: types.ModelPreferences | None = None,
    ) -> types.CreateMessageResult:
        """Send a sampling/create_message request."""
        return await self.send_request(
            types.ServerRequest(
                types.CreateMessageRequest(
                    method="sampling/createMessage",
                    params=types.CreateMessageRequestParams(
                        messages=messages,
                        systemPrompt=system_prompt,
                        includeContext=include_context,
                        temperature=temperature,
                        maxTokens=max_tokens,
                        stopSequences=stop_sequences,
                        metadata=metadata,
                        modelPreferences=model_preferences,
                    ),
                )
            ),
            types.CreateMessageResult,
        )

    async def list_roots(self) -> types.ListRootsResult:
        """Send a roots/list request."""
        return await self.send_request(
            types.ServerRequest(
                types.ListRootsRequest(
                    method="roots/list",
                )
            ),
            types.ListRootsResult,
        )

    async def send_ping(self) -> types.EmptyResult:
        """Send a ping request."""
        return await self.send_request(
            types.ServerRequest(
                types.PingRequest(
                    method="ping",
                )
            ),
            types.EmptyResult,
        )

    async def send_progress_notification(
        self, progress_token: str | int, progress: float, total: float | None = None
    ) -> None:
        """Send a progress notification."""
        await self.send_notification(
            types.ServerNotification(
                types.ProgressNotification(
                    method="notifications/progress",
                    params=types.ProgressNotificationParams(
                        progressToken=progress_token,
                        progress=progress,
                        total=total,
                    ),
                )
            )
        )

    async def send_resource_list_changed(self) -> None:
        """Send a resource list changed notification."""
        await self.send_notification(
            types.ServerNotification(
                types.ResourceListChangedNotification(
                    method="notifications/resources/list_changed",
                )
            )
        )

    async def send_tool_list_changed(self) -> None:
        """Send a tool list changed notification."""
        await self.send_notification(
            types.ServerNotification(
                types.ToolListChangedNotification(
                    method="notifications/tools/list_changed",
                )
            )
        )

    async def send_prompt_list_changed(self) -> None:
        """Send a prompt list changed notification."""
        await self.send_notification(
            types.ServerNotification(
                types.PromptListChangedNotification(
                    method="notifications/prompts/list_changed",
                )
            )
        )

========================================
File: "src/mcp/shared/session.py"
Size: 14270 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
import logging
from contextlib import AbstractAsyncContextManager
from datetime import timedelta
from typing import Any, Callable, Generic, TypeVar

import anyio
import anyio.lowlevel
import httpx
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
from pydantic import BaseModel

from mcp.shared.exceptions import McpError
from mcp.types import (
    CancelledNotification,
    ClientNotification,
    ClientRequest,
    ClientResult,
    ErrorData,
    JSONRPCError,
    JSONRPCMessage,
    JSONRPCNotification,
    JSONRPCRequest,
    JSONRPCResponse,
    RequestParams,
    ServerNotification,
    ServerRequest,
    ServerResult,
)

SendRequestT = TypeVar("SendRequestT", ClientRequest, ServerRequest)
SendResultT = TypeVar("SendResultT", ClientResult, ServerResult)
SendNotificationT = TypeVar("SendNotificationT", ClientNotification, ServerNotification)
ReceiveRequestT = TypeVar("ReceiveRequestT", ClientRequest, ServerRequest)
ReceiveResultT = TypeVar("ReceiveResultT", bound=BaseModel)
ReceiveNotificationT = TypeVar(
    "ReceiveNotificationT", ClientNotification, ServerNotification
)

RequestId = str | int


class RequestResponder(Generic[ReceiveRequestT, SendResultT]):
    """Handles responding to MCP requests and manages request lifecycle.

    This class MUST be used as a context manager to ensure proper cleanup and
    cancellation handling:

    Example:
        with request_responder as resp:
            await resp.respond(result)

    The context manager ensures:
    1. Proper cancellation scope setup and cleanup
    2. Request completion tracking
    3. Cleanup of in-flight requests
    """

    def __init__(
        self,
        request_id: RequestId,
        request_meta: RequestParams.Meta | None,
        request: ReceiveRequestT,
        session: "BaseSession",
        on_complete: Callable[["RequestResponder[ReceiveRequestT, SendResultT]"], Any],
    ) -> None:
        self.request_id = request_id
        self.request_meta = request_meta
        self.request = request
        self._session = session
        self._completed = False
        self._cancel_scope = anyio.CancelScope()
        self._on_complete = on_complete
        self._entered = False  # Track if we're in a context manager

    def __enter__(self) -> "RequestResponder[ReceiveRequestT, SendResultT]":
        """Enter the context manager, enabling request cancellation tracking."""
        self._entered = True
        self._cancel_scope = anyio.CancelScope()
        self._cancel_scope.__enter__()
        return self

    def __exit__(self, exc_type, exc_val, exc_tb) -> None:
        """Exit the context manager, performing cleanup and notifying completion."""
        try:
            if self._completed:
                self._on_complete(self)
        finally:
            self._entered = False
            if not self._cancel_scope:
                raise RuntimeError("No active cancel scope")
            self._cancel_scope.__exit__(exc_type, exc_val, exc_tb)

    async def respond(self, response: SendResultT | ErrorData) -> None:
        """Send a response for this request.

        Must be called within a context manager block.
        Raises:
            RuntimeError: If not used within a context manager
            AssertionError: If request was already responded to
        """
        if not self._entered:
            raise RuntimeError("RequestResponder must be used as a context manager")
        assert not self._completed, "Request already responded to"

        if not self.cancelled:
            self._completed = True

            await self._session._send_response(
                request_id=self.request_id, response=response
            )

    async def cancel(self) -> None:
        """Cancel this request and mark it as completed."""
        if not self._entered:
            raise RuntimeError("RequestResponder must be used as a context manager")
        if not self._cancel_scope:
            raise RuntimeError("No active cancel scope")

        self._cancel_scope.cancel()
        self._completed = True  # Mark as completed so it's removed from in_flight
        # Send an error response to indicate cancellation
        await self._session._send_response(
            request_id=self.request_id,
            response=ErrorData(code=0, message="Request cancelled", data=None),
        )

    @property
    def in_flight(self) -> bool:
        return not self._completed and not self.cancelled

    @property
    def cancelled(self) -> bool:
        return self._cancel_scope is not None and self._cancel_scope.cancel_called


class BaseSession(
    AbstractAsyncContextManager,
    Generic[
        SendRequestT,
        SendNotificationT,
        SendResultT,
        ReceiveRequestT,
        ReceiveNotificationT,
    ],
):
    """
    Implements an MCP "session" on top of read/write streams, including features
    like request/response linking, notifications, and progress.

    This class is an async context manager that automatically starts processing
    messages when entered.
    """

    _response_streams: dict[
        RequestId, MemoryObjectSendStream[JSONRPCResponse | JSONRPCError]
    ]
    _request_id: int
    _in_flight: dict[RequestId, RequestResponder[ReceiveRequestT, SendResultT]]

    def __init__(
        self,
        read_stream: MemoryObjectReceiveStream[JSONRPCMessage | Exception],
        write_stream: MemoryObjectSendStream[JSONRPCMessage],
        receive_request_type: type[ReceiveRequestT],
        receive_notification_type: type[ReceiveNotificationT],
        # If none, reading will never time out
        read_timeout_seconds: timedelta | None = None,
    ) -> None:
        self._read_stream = read_stream
        self._write_stream = write_stream
        self._response_streams = {}
        self._request_id = 0
        self._receive_request_type = receive_request_type
        self._receive_notification_type = receive_notification_type
        self._read_timeout_seconds = read_timeout_seconds
        self._in_flight = {}

        self._incoming_message_stream_writer, self._incoming_message_stream_reader = (
            anyio.create_memory_object_stream[
                RequestResponder[ReceiveRequestT, SendResultT]
                | ReceiveNotificationT
                | Exception
            ]()
        )

    async def __aenter__(self):
        self._task_group = anyio.create_task_group()
        await self._task_group.__aenter__()
        self._task_group.start_soon(self._receive_loop)
        return self

    async def __aexit__(self, exc_type, exc_val, exc_tb):
        # Using BaseSession as a context manager should not block on exit (this
        # would be very surprising behavior), so make sure to cancel the tasks
        # in the task group.
        self._task_group.cancel_scope.cancel()
        return await self._task_group.__aexit__(exc_type, exc_val, exc_tb)

    async def send_request(
        self,
        request: SendRequestT,
        result_type: type[ReceiveResultT],
    ) -> ReceiveResultT:
        """
        Sends a request and wait for a response. Raises an McpError if the
        response contains an error.

        Do not use this method to emit notifications! Use send_notification()
        instead.
        """

        request_id = self._request_id
        self._request_id = request_id + 1

        response_stream, response_stream_reader = anyio.create_memory_object_stream[
            JSONRPCResponse | JSONRPCError
        ](1)
        self._response_streams[request_id] = response_stream

        jsonrpc_request = JSONRPCRequest(
            jsonrpc="2.0",
            id=request_id,
            **request.model_dump(by_alias=True, mode="json", exclude_none=True),
        )

        # TODO: Support progress callbacks

        await self._write_stream.send(JSONRPCMessage(jsonrpc_request))

        try:
            with anyio.fail_after(
                None
                if self._read_timeout_seconds is None
                else self._read_timeout_seconds.total_seconds()
            ):
                response_or_error = await response_stream_reader.receive()
        except TimeoutError:
            raise McpError(
                ErrorData(
                    code=httpx.codes.REQUEST_TIMEOUT,
                    message=(
                        f"Timed out while waiting for response to "
                        f"{request.__class__.__name__}. Waited "
                        f"{self._read_timeout_seconds} seconds."
                    ),
                )
            )

        if isinstance(response_or_error, JSONRPCError):
            raise McpError(response_or_error.error)
        else:
            return result_type.model_validate(response_or_error.result)

    async def send_notification(self, notification: SendNotificationT) -> None:
        """
        Emits a notification, which is a one-way message that does not expect
        a response.
        """
        jsonrpc_notification = JSONRPCNotification(
            jsonrpc="2.0",
            **notification.model_dump(by_alias=True, mode="json", exclude_none=True),
        )

        await self._write_stream.send(JSONRPCMessage(jsonrpc_notification))

    async def _send_response(
        self, request_id: RequestId, response: SendResultT | ErrorData
    ) -> None:
        if isinstance(response, ErrorData):
            jsonrpc_error = JSONRPCError(jsonrpc="2.0", id=request_id, error=response)
            await self._write_stream.send(JSONRPCMessage(jsonrpc_error))
        else:
            jsonrpc_response = JSONRPCResponse(
                jsonrpc="2.0",
                id=request_id,
                result=response.model_dump(
                    by_alias=True, mode="json", exclude_none=True
                ),
            )
            await self._write_stream.send(JSONRPCMessage(jsonrpc_response))

    async def _receive_loop(self) -> None:
        async with (
            self._read_stream,
            self._write_stream,
            self._incoming_message_stream_writer,
        ):
            async for message in self._read_stream:
                if isinstance(message, Exception):
                    await self._incoming_message_stream_writer.send(message)
                elif isinstance(message.root, JSONRPCRequest):
                    validated_request = self._receive_request_type.model_validate(
                        message.root.model_dump(
                            by_alias=True, mode="json", exclude_none=True
                        )
                    )

                    responder = RequestResponder(
                        request_id=message.root.id,
                        request_meta=validated_request.root.params.meta
                        if validated_request.root.params
                        else None,
                        request=validated_request,
                        session=self,
                        on_complete=lambda r: self._in_flight.pop(r.request_id, None),
                    )

                    self._in_flight[responder.request_id] = responder
                    await self._received_request(responder)
                    if not responder._completed:
                        await self._incoming_message_stream_writer.send(responder)

                elif isinstance(message.root, JSONRPCNotification):
                    try:
                        notification = self._receive_notification_type.model_validate(
                            message.root.model_dump(
                                by_alias=True, mode="json", exclude_none=True
                            )
                        )
                        # Handle cancellation notifications
                        if isinstance(notification.root, CancelledNotification):
                            cancelled_id = notification.root.params.requestId
                            if cancelled_id in self._in_flight:
                                await self._in_flight[cancelled_id].cancel()
                        else:
                            await self._received_notification(notification)
                            await self._incoming_message_stream_writer.send(
                                notification
                            )
                    except Exception as e:
                        # For other validation errors, log and continue
                        logging.warning(
                            f"Failed to validate notification: {e}. "
                            f"Message was: {message.root}"
                        )
                else:  # Response or error
                    stream = self._response_streams.pop(message.root.id, None)
                    if stream:
                        await stream.send(message.root)
                    else:
                        await self._incoming_message_stream_writer.send(
                            RuntimeError(
                                "Received response with an unknown "
                                f"request ID: {message}"
                            )
                        )

    async def _received_request(
        self, responder: RequestResponder[ReceiveRequestT, SendResultT]
    ) -> None:
        """
        Can be overridden by subclasses to handle a request without needing to
        listen on the message stream.

        If the request is responded to within this method, it will not be
        forwarded on to the message stream.
        """

    async def _received_notification(self, notification: ReceiveNotificationT) -> None:
        """
        Can be overridden by subclasses to handle a notification without needing
        to listen on the message stream.
        """

    async def send_progress_notification(
        self, progress_token: str | int, progress: float, total: float | None = None
    ) -> None:
        """
        Sends a progress notification for a request that is currently being
        processed.
        """

    @property
    def incoming_messages(
        self,
    ) -> MemoryObjectReceiveStream[
        RequestResponder[ReceiveRequestT, SendResultT]
        | ReceiveNotificationT
        | Exception
    ]:
        return self._incoming_message_stream_reader

========================================
File: "src/mcp/client/sse.py"
Size: 6535 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
import logging
from contextlib import asynccontextmanager
from typing import Any
from urllib.parse import urljoin, urlparse

import anyio
import httpx
from anyio.abc import TaskStatus
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
from httpx_sse import aconnect_sse

import mcp.types as types

logger = logging.getLogger(__name__)


def remove_request_params(url: str) -> str:
    return urljoin(url, urlparse(url).path)


@asynccontextmanager
async def sse_client(
    url: str,
    headers: dict[str, Any] | None = None,
    timeout: float = 5,
    sse_read_timeout: float = 60 * 5,
):
    """
    Client transport for SSE.

    `sse_read_timeout` determines how long (in seconds) the client will wait for a new
    event before disconnecting. All other HTTP operations are controlled by `timeout`.
    """
    read_stream: MemoryObjectReceiveStream[types.JSONRPCMessage | Exception]
    read_stream_writer: MemoryObjectSendStream[types.JSONRPCMessage | Exception]

    write_stream: MemoryObjectSendStream[types.JSONRPCMessage]
    write_stream_reader: MemoryObjectReceiveStream[types.JSONRPCMessage]

    read_stream_writer, read_stream = anyio.create_memory_object_stream(0)
    write_stream, write_stream_reader = anyio.create_memory_object_stream(0)

    async with anyio.create_task_group() as tg:
        try:
            logger.info(f"Connecting to SSE endpoint: {remove_request_params(url)}")
            async with httpx.AsyncClient(headers=headers) as client:
                async with aconnect_sse(
                    client,
                    "GET",
                    url,
                    timeout=httpx.Timeout(timeout, read=sse_read_timeout),
                ) as event_source:
                    event_source.response.raise_for_status()
                    logger.debug("SSE connection established")

                    async def sse_reader(
                        task_status: TaskStatus[str] = anyio.TASK_STATUS_IGNORED,
                    ):
                        try:
                            async for sse in event_source.aiter_sse():
                                logger.debug(f"Received SSE event: {sse.event}")
                                match sse.event:
                                    case "endpoint":
                                        endpoint_url = urljoin(url, sse.data)
                                        logger.info(
                                            f"Received endpoint URL: {endpoint_url}"
                                        )

                                        url_parsed = urlparse(url)
                                        endpoint_parsed = urlparse(endpoint_url)
                                        if (
                                            url_parsed.netloc != endpoint_parsed.netloc
                                            or url_parsed.scheme
                                            != endpoint_parsed.scheme
                                        ):
                                            error_msg = (
                                                "Endpoint origin does not match "
                                                f"connection origin: {endpoint_url}"
                                            )
                                            logger.error(error_msg)
                                            raise ValueError(error_msg)

                                        task_status.started(endpoint_url)

                                    case "message":
                                        try:
                                            message = types.JSONRPCMessage.model_validate_json(  # noqa: E501
                                                sse.data
                                            )
                                            logger.debug(
                                                f"Received server message: {message}"
                                            )
                                        except Exception as exc:
                                            logger.error(
                                                f"Error parsing server message: {exc}"
                                            )
                                            await read_stream_writer.send(exc)
                                            continue

                                        await read_stream_writer.send(message)
                        except Exception as exc:
                            logger.error(f"Error in sse_reader: {exc}")
                            await read_stream_writer.send(exc)
                        finally:
                            await read_stream_writer.aclose()

                    async def post_writer(endpoint_url: str):
                        try:
                            async with write_stream_reader:
                                async for message in write_stream_reader:
                                    logger.debug(f"Sending client message: {message}")
                                    response = await client.post(
                                        endpoint_url,
                                        json=message.model_dump(
                                            by_alias=True,
                                            mode="json",
                                            exclude_none=True,
                                        ),
                                    )
                                    response.raise_for_status()
                                    logger.debug(
                                        "Client message sent successfully: "
                                        f"{response.status_code}"
                                    )
                        except Exception as exc:
                            logger.error(f"Error in post_writer: {exc}")
                        finally:
                            await write_stream.aclose()

                    endpoint_url = await tg.start(sse_reader)
                    logger.info(
                        f"Starting post writer with endpoint URL: {endpoint_url}"
                    )
                    tg.start_soon(post_writer, endpoint_url)

                    try:
                        yield read_stream, write_stream
                    finally:
                        tg.cancel_scope.cancel()
        finally:
            await read_stream_writer.aclose()
            await write_stream.aclose()

========================================
File: "src/mcp/server/sse.py"
Size: 6716 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""
SSE Server Transport Module

This module implements a Server-Sent Events (SSE) transport layer for MCP servers.

Example usage:
```
    # Create an SSE transport at an endpoint
    sse = SseServerTransport("/messages/")

    # Create Starlette routes for SSE and message handling
    routes = [
        Route("/sse", endpoint=handle_sse),
        Mount("/messages/", app=sse.handle_post_message),
    ]

    # Define handler functions
    async def handle_sse(request):
        async with sse.connect_sse(
            request.scope, request.receive, request._send
        ) as streams:
            await app.run(
                streams[0], streams[1], app.create_initialization_options()
            )

    # Create and run Starlette app
    starlette_app = Starlette(routes=routes)
    uvicorn.run(starlette_app, host="0.0.0.0", port=port)
```

See SseServerTransport class documentation for more details.
"""

import logging
from contextlib import asynccontextmanager
from typing import Any
from urllib.parse import quote
from uuid import UUID, uuid4

import anyio
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
from pydantic import ValidationError
from sse_starlette import EventSourceResponse
from starlette.requests import Request
from starlette.responses import Response
from starlette.types import Receive, Scope, Send

import mcp.types as types

logger = logging.getLogger(__name__)


class SseServerTransport:
    """
    SSE server transport for MCP. This class provides _two_ ASGI applications,
    suitable to be used with a framework like Starlette and a server like Hypercorn:

        1. connect_sse() is an ASGI application which receives incoming GET requests,
           and sets up a new SSE stream to send server messages to the client.
        2. handle_post_message() is an ASGI application which receives incoming POST
           requests, which should contain client messages that link to a
           previously-established SSE session.
    """

    _endpoint: str
    _read_stream_writers: dict[
        UUID, MemoryObjectSendStream[types.JSONRPCMessage | Exception]
    ]

    def __init__(self, endpoint: str) -> None:
        """
        Creates a new SSE server transport, which will direct the client to POST
        messages to the relative or absolute URL given.
        """

        super().__init__()
        self._endpoint = endpoint
        self._read_stream_writers = {}
        logger.debug(f"SseServerTransport initialized with endpoint: {endpoint}")

    @asynccontextmanager
    async def connect_sse(self, scope: Scope, receive: Receive, send: Send):
        if scope["type"] != "http":
            logger.error("connect_sse received non-HTTP request")
            raise ValueError("connect_sse can only handle HTTP requests")

        logger.debug("Setting up SSE connection")
        read_stream: MemoryObjectReceiveStream[types.JSONRPCMessage | Exception]
        read_stream_writer: MemoryObjectSendStream[types.JSONRPCMessage | Exception]

        write_stream: MemoryObjectSendStream[types.JSONRPCMessage]
        write_stream_reader: MemoryObjectReceiveStream[types.JSONRPCMessage]

        read_stream_writer, read_stream = anyio.create_memory_object_stream(0)
        write_stream, write_stream_reader = anyio.create_memory_object_stream(0)

        session_id = uuid4()
        session_uri = f"{quote(self._endpoint)}?session_id={session_id.hex}"
        self._read_stream_writers[session_id] = read_stream_writer
        logger.debug(f"Created new session with ID: {session_id}")

        sse_stream_writer, sse_stream_reader = anyio.create_memory_object_stream[
            dict[str, Any]
        ](0)

        async def sse_writer():
            logger.debug("Starting SSE writer")
            async with sse_stream_writer, write_stream_reader:
                await sse_stream_writer.send({"event": "endpoint", "data": session_uri})
                logger.debug(f"Sent endpoint event: {session_uri}")

                async for message in write_stream_reader:
                    logger.debug(f"Sending message via SSE: {message}")
                    await sse_stream_writer.send(
                        {
                            "event": "message",
                            "data": message.model_dump_json(
                                by_alias=True, exclude_none=True
                            ),
                        }
                    )

        async with anyio.create_task_group() as tg:
            response = EventSourceResponse(
                content=sse_stream_reader, data_sender_callable=sse_writer
            )
            logger.debug("Starting SSE response task")
            tg.start_soon(response, scope, receive, send)

            logger.debug("Yielding read and write streams")
            yield (read_stream, write_stream)

    async def handle_post_message(
        self, scope: Scope, receive: Receive, send: Send
    ) -> None:
        logger.debug("Handling POST message")
        request = Request(scope, receive)

        session_id_param = request.query_params.get("session_id")
        if session_id_param is None:
            logger.warning("Received request without session_id")
            response = Response("session_id is required", status_code=400)
            return await response(scope, receive, send)

        try:
            session_id = UUID(hex=session_id_param)
            logger.debug(f"Parsed session ID: {session_id}")
        except ValueError:
            logger.warning(f"Received invalid session ID: {session_id_param}")
            response = Response("Invalid session ID", status_code=400)
            return await response(scope, receive, send)

        writer = self._read_stream_writers.get(session_id)
        if not writer:
            logger.warning(f"Could not find session for ID: {session_id}")
            response = Response("Could not find session", status_code=404)
            return await response(scope, receive, send)

        json = await request.json()
        logger.debug(f"Received JSON: {json}")

        try:
            message = types.JSONRPCMessage.model_validate(json)
            logger.debug(f"Validated client message: {message}")
        except ValidationError as err:
            logger.error(f"Failed to parse message: {err}")
            response = Response("Could not parse message", status_code=400)
            await response(scope, receive, send)
            await writer.send(err)
            return

        logger.debug(f"Sending message to writer: {message}")
        response = Response("Accepted", status_code=202)
        await response(scope, receive, send)
        await writer.send(message)

========================================
File: "src/mcp/client/stdio.py"
Size: 4686 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
import os
import sys
from contextlib import asynccontextmanager
from typing import Literal

import anyio
import anyio.lowlevel
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
from anyio.streams.text import TextReceiveStream
from pydantic import BaseModel, Field

import mcp.types as types

# Environment variables to inherit by default
DEFAULT_INHERITED_ENV_VARS = (
    [
        "APPDATA",
        "HOMEDRIVE",
        "HOMEPATH",
        "LOCALAPPDATA",
        "PATH",
        "PROCESSOR_ARCHITECTURE",
        "SYSTEMDRIVE",
        "SYSTEMROOT",
        "TEMP",
        "USERNAME",
        "USERPROFILE",
    ]
    if sys.platform == "win32"
    else ["HOME", "LOGNAME", "PATH", "SHELL", "TERM", "USER"]
)


def get_default_environment() -> dict[str, str]:
    """
    Returns a default environment object including only environment variables deemed
    safe to inherit.
    """
    env: dict[str, str] = {}

    for key in DEFAULT_INHERITED_ENV_VARS:
        value = os.environ.get(key)
        if value is None:
            continue

        if value.startswith("()"):
            # Skip functions, which are a security risk
            continue

        env[key] = value

    return env


class StdioServerParameters(BaseModel):
    command: str
    """The executable to run to start the server."""

    args: list[str] = Field(default_factory=list)
    """Command line arguments to pass to the executable."""

    env: dict[str, str] | None = None
    """
    The environment to use when spawning the process.

    If not specified, the result of get_default_environment() will be used.
    """

    encoding: str = "utf-8"
    """
    The text encoding used when sending/receiving messages to the server

    defaults to utf-8
    """

    encoding_error_handler: Literal["strict", "ignore", "replace"] = "strict"
    """
    The text encoding error handler.

    See https://docs.python.org/3/library/codecs.html#codec-base-classes for
    explanations of possible values
    """


@asynccontextmanager
async def stdio_client(server: StdioServerParameters):
    """
    Client transport for stdio: this will connect to a server by spawning a
    process and communicating with it over stdin/stdout.
    """
    read_stream: MemoryObjectReceiveStream[types.JSONRPCMessage | Exception]
    read_stream_writer: MemoryObjectSendStream[types.JSONRPCMessage | Exception]

    write_stream: MemoryObjectSendStream[types.JSONRPCMessage]
    write_stream_reader: MemoryObjectReceiveStream[types.JSONRPCMessage]

    read_stream_writer, read_stream = anyio.create_memory_object_stream(0)
    write_stream, write_stream_reader = anyio.create_memory_object_stream(0)

    process = await anyio.open_process(
        [server.command, *server.args],
        env=server.env if server.env is not None else get_default_environment(),
        stderr=sys.stderr,
    )

    async def stdout_reader():
        assert process.stdout, "Opened process is missing stdout"

        try:
            async with read_stream_writer:
                buffer = ""
                async for chunk in TextReceiveStream(
                    process.stdout,
                    encoding=server.encoding,
                    errors=server.encoding_error_handler,
                ):
                    lines = (buffer + chunk).split("\n")
                    buffer = lines.pop()

                    for line in lines:
                        try:
                            message = types.JSONRPCMessage.model_validate_json(line)
                        except Exception as exc:
                            await read_stream_writer.send(exc)
                            continue

                        await read_stream_writer.send(message)
        except anyio.ClosedResourceError:
            await anyio.lowlevel.checkpoint()

    async def stdin_writer():
        assert process.stdin, "Opened process is missing stdin"

        try:
            async with write_stream_reader:
                async for message in write_stream_reader:
                    json = message.model_dump_json(by_alias=True, exclude_none=True)
                    await process.stdin.send(
                        (json + "\n").encode(
                            encoding=server.encoding,
                            errors=server.encoding_error_handler,
                        )
                    )
        except anyio.ClosedResourceError:
            await anyio.lowlevel.checkpoint()

    async with (
        anyio.create_task_group() as tg,
        process,
    ):
        tg.start_soon(stdout_reader)
        tg.start_soon(stdin_writer)
        yield read_stream, write_stream

========================================
File: "src/mcp/server/stdio.py"
Size: 3182 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""
Stdio Server Transport Module

This module provides functionality for creating an stdio-based transport layer
that can be used to communicate with an MCP client through standard input/output
streams.

Example usage:
```
    async def run_server():
        async with stdio_server() as (read_stream, write_stream):
            # read_stream contains incoming JSONRPCMessages from stdin
            # write_stream allows sending JSONRPCMessages to stdout
            server = await create_my_server()
            await server.run(read_stream, write_stream, init_options)

    anyio.run(run_server)
```
"""

import sys
from contextlib import asynccontextmanager
from io import TextIOWrapper

import anyio
import anyio.lowlevel
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream

import mcp.types as types


@asynccontextmanager
async def stdio_server(
    stdin: anyio.AsyncFile[str] | None = None,
    stdout: anyio.AsyncFile[str] | None = None,
):
    """
    Server transport for stdio: this communicates with an MCP client by reading
    from the current process' stdin and writing to stdout.
    """
    # Purposely not using context managers for these, as we don't want to close
    # standard process handles. Encoding of stdin/stdout as text streams on
    # python is platform-dependent (Windows is particularly problematic), so we
    # re-wrap the underlying binary stream to ensure UTF-8.
    if not stdin:
        stdin = anyio.wrap_file(TextIOWrapper(sys.stdin.buffer, encoding="utf-8"))
    if not stdout:
        stdout = anyio.wrap_file(TextIOWrapper(sys.stdout.buffer, encoding="utf-8"))

    read_stream: MemoryObjectReceiveStream[types.JSONRPCMessage | Exception]
    read_stream_writer: MemoryObjectSendStream[types.JSONRPCMessage | Exception]

    write_stream: MemoryObjectSendStream[types.JSONRPCMessage]
    write_stream_reader: MemoryObjectReceiveStream[types.JSONRPCMessage]

    read_stream_writer, read_stream = anyio.create_memory_object_stream(0)
    write_stream, write_stream_reader = anyio.create_memory_object_stream(0)

    async def stdin_reader():
        try:
            async with read_stream_writer:
                async for line in stdin:
                    try:
                        message = types.JSONRPCMessage.model_validate_json(line)
                    except Exception as exc:
                        await read_stream_writer.send(exc)
                        continue

                    await read_stream_writer.send(message)
        except anyio.ClosedResourceError:
            await anyio.lowlevel.checkpoint()

    async def stdout_writer():
        try:
            async with write_stream_reader:
                async for message in write_stream_reader:
                    json = message.model_dump_json(by_alias=True, exclude_none=True)
                    await stdout.write(json + "\n")
                    await stdout.flush()
        except anyio.ClosedResourceError:
            await anyio.lowlevel.checkpoint()

    async with anyio.create_task_group() as tg:
        tg.start_soon(stdin_reader)
        tg.start_soon(stdout_writer)
        yield read_stream, write_stream

========================================
File: "src/mcp/server/fastmcp/resources/templates.py"
Size: 2867 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Resource template functionality."""

import inspect
import re
from typing import Any, Callable

from pydantic import BaseModel, Field, TypeAdapter, validate_call

from mcp.server.fastmcp.resources.types import FunctionResource, Resource


class ResourceTemplate(BaseModel):
    """A template for dynamically creating resources."""

    uri_template: str = Field(
        description="URI template with parameters (e.g. weather://{city}/current)"
    )
    name: str = Field(description="Name of the resource")
    description: str | None = Field(description="Description of what the resource does")
    mime_type: str = Field(
        default="text/plain", description="MIME type of the resource content"
    )
    fn: Callable = Field(exclude=True)
    parameters: dict = Field(description="JSON schema for function parameters")

    @classmethod
    def from_function(
        cls,
        fn: Callable,
        uri_template: str,
        name: str | None = None,
        description: str | None = None,
        mime_type: str | None = None,
    ) -> "ResourceTemplate":
        """Create a template from a function."""
        func_name = name or fn.__name__
        if func_name == "<lambda>":
            raise ValueError("You must provide a name for lambda functions")

        # Get schema from TypeAdapter - will fail if function isn't properly typed
        parameters = TypeAdapter(fn).json_schema()

        # ensure the arguments are properly cast
        fn = validate_call(fn)

        return cls(
            uri_template=uri_template,
            name=func_name,
            description=description or fn.__doc__ or "",
            mime_type=mime_type or "text/plain",
            fn=fn,
            parameters=parameters,
        )

    def matches(self, uri: str) -> dict[str, Any] | None:
        """Check if URI matches template and extract parameters."""
        # Convert template to regex pattern
        pattern = self.uri_template.replace("{", "(?P<").replace("}", ">[^/]+)")
        match = re.match(f"^{pattern}$", uri)
        if match:
            return match.groupdict()
        return None

    async def create_resource(self, uri: str, params: dict[str, Any]) -> Resource:
        """Create a resource from the template with the given parameters."""
        try:
            # Call function and check if result is a coroutine
            result = self.fn(**params)
            if inspect.iscoroutine(result):
                result = await result

            return FunctionResource(
                uri=uri,  # type: ignore
                name=self.name,
                description=self.description,
                mime_type=self.mime_type,
                fn=lambda: result,  # Capture result in closure
            )
        except Exception as e:
            raise ValueError(f"Error creating resource from template: {e}")

========================================
File: "src/mcp/server/fastmcp/tools/tool_manager.py"
Size: 1657 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from collections.abc import Callable
from typing import TYPE_CHECKING, Any

from mcp.server.fastmcp.exceptions import ToolError
from mcp.server.fastmcp.tools.base import Tool
from mcp.server.fastmcp.utilities.logging import get_logger

if TYPE_CHECKING:
    from mcp.server.fastmcp.server import Context

logger = get_logger(__name__)


class ToolManager:
    """Manages FastMCP tools."""

    def __init__(self, warn_on_duplicate_tools: bool = True):
        self._tools: dict[str, Tool] = {}
        self.warn_on_duplicate_tools = warn_on_duplicate_tools

    def get_tool(self, name: str) -> Tool | None:
        """Get tool by name."""
        return self._tools.get(name)

    def list_tools(self) -> list[Tool]:
        """List all registered tools."""
        return list(self._tools.values())

    def add_tool(
        self,
        fn: Callable,
        name: str | None = None,
        description: str | None = None,
    ) -> Tool:
        """Add a tool to the server."""
        tool = Tool.from_function(fn, name=name, description=description)
        existing = self._tools.get(tool.name)
        if existing:
            if self.warn_on_duplicate_tools:
                logger.warning(f"Tool already exists: {tool.name}")
            return existing
        self._tools[tool.name] = tool
        return tool

    async def call_tool(
        self, name: str, arguments: dict, context: "Context | None" = None
    ) -> Any:
        """Call a tool by name with arguments."""
        tool = self.get_tool(name)
        if not tool:
            raise ToolError(f"Unknown tool: {name}")

        return await tool.run(arguments, context=context)

========================================
File: "src/mcp/server/fastmcp/resources/types.py"
Size: 6197 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Concrete resource implementations."""

import inspect
import json
from collections.abc import Callable
from pathlib import Path
from typing import Any

import anyio
import anyio.to_thread
import httpx
import pydantic.json
import pydantic_core
from pydantic import Field, ValidationInfo

from mcp.server.fastmcp.resources.base import Resource


class TextResource(Resource):
    """A resource that reads from a string."""

    text: str = Field(description="Text content of the resource")

    async def read(self) -> str:
        """Read the text content."""
        return self.text


class BinaryResource(Resource):
    """A resource that reads from bytes."""

    data: bytes = Field(description="Binary content of the resource")

    async def read(self) -> bytes:
        """Read the binary content."""
        return self.data


class FunctionResource(Resource):
    """A resource that defers data loading by wrapping a function.

    The function is only called when the resource is read, allowing for lazy loading
    of potentially expensive data. This is particularly useful when listing resources,
    as the function won't be called until the resource is actually accessed.

    The function can return:
    - str for text content (default)
    - bytes for binary content
    - other types will be converted to JSON
    """

    fn: Callable[[], Any] = Field(exclude=True)

    async def read(self) -> str | bytes:
        """Read the resource by calling the wrapped function."""
        try:
            result = (
                await self.fn() if inspect.iscoroutinefunction(self.fn) else self.fn()
            )
            if isinstance(result, Resource):
                return await result.read()
            if isinstance(result, bytes):
                return result
            if isinstance(result, str):
                return result
            try:
                return json.dumps(pydantic_core.to_jsonable_python(result))
            except (TypeError, pydantic_core.PydanticSerializationError):
                # If JSON serialization fails, try str()
                return str(result)
        except Exception as e:
            raise ValueError(f"Error reading resource {self.uri}: {e}")


class FileResource(Resource):
    """A resource that reads from a file.

    Set is_binary=True to read file as binary data instead of text.
    """

    path: Path = Field(description="Path to the file")
    is_binary: bool = Field(
        default=False,
        description="Whether to read the file as binary data",
    )
    mime_type: str = Field(
        default="text/plain",
        description="MIME type of the resource content",
    )

    @pydantic.field_validator("path")
    @classmethod
    def validate_absolute_path(cls, path: Path) -> Path:
        """Ensure path is absolute."""
        if not path.is_absolute():
            raise ValueError("Path must be absolute")
        return path

    @pydantic.field_validator("is_binary")
    @classmethod
    def set_binary_from_mime_type(cls, is_binary: bool, info: ValidationInfo) -> bool:
        """Set is_binary based on mime_type if not explicitly set."""
        if is_binary:
            return True
        mime_type = info.data.get("mime_type", "text/plain")
        return not mime_type.startswith("text/")

    async def read(self) -> str | bytes:
        """Read the file content."""
        try:
            if self.is_binary:
                return await anyio.to_thread.run_sync(self.path.read_bytes)
            return await anyio.to_thread.run_sync(self.path.read_text)
        except Exception as e:
            raise ValueError(f"Error reading file {self.path}: {e}")


class HttpResource(Resource):
    """A resource that reads from an HTTP endpoint."""

    url: str = Field(description="URL to fetch content from")
    mime_type: str = Field(
        default="application/json", description="MIME type of the resource content"
    )

    async def read(self) -> str | bytes:
        """Read the HTTP content."""
        async with httpx.AsyncClient() as client:
            response = await client.get(self.url)
            response.raise_for_status()
            return response.text


class DirectoryResource(Resource):
    """A resource that lists files in a directory."""

    path: Path = Field(description="Path to the directory")
    recursive: bool = Field(
        default=False, description="Whether to list files recursively"
    )
    pattern: str | None = Field(
        default=None, description="Optional glob pattern to filter files"
    )
    mime_type: str = Field(
        default="application/json", description="MIME type of the resource content"
    )

    @pydantic.field_validator("path")
    @classmethod
    def validate_absolute_path(cls, path: Path) -> Path:
        """Ensure path is absolute."""
        if not path.is_absolute():
            raise ValueError("Path must be absolute")
        return path

    def list_files(self) -> list[Path]:
        """List files in the directory."""
        if not self.path.exists():
            raise FileNotFoundError(f"Directory not found: {self.path}")
        if not self.path.is_dir():
            raise NotADirectoryError(f"Not a directory: {self.path}")

        try:
            if self.pattern:
                return (
                    list(self.path.glob(self.pattern))
                    if not self.recursive
                    else list(self.path.rglob(self.pattern))
                )
            return (
                list(self.path.glob("*"))
                if not self.recursive
                else list(self.path.rglob("*"))
            )
        except Exception as e:
            raise ValueError(f"Error listing directory {self.path}: {e}")

    async def read(self) -> str:  # Always returns JSON string
        """Read the directory listing."""
        try:
            files = await anyio.to_thread.run_sync(self.list_files)
            file_list = [str(f.relative_to(self.path)) for f in files if f.is_file()]
            return json.dumps({"files": file_list}, indent=2)
        except Exception as e:
            raise ValueError(f"Error reading directory {self.path}: {e}")

========================================
File: "src/mcp/server/fastmcp/utilities/types.py"
Size: 1760 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
"""Common types used across FastMCP."""

import base64
from pathlib import Path

from mcp.types import ImageContent


class Image:
    """Helper class for returning images from tools."""

    def __init__(
        self,
        path: str | Path | None = None,
        data: bytes | None = None,
        format: str | None = None,
    ):
        if path is None and data is None:
            raise ValueError("Either path or data must be provided")
        if path is not None and data is not None:
            raise ValueError("Only one of path or data can be provided")

        self.path = Path(path) if path else None
        self.data = data
        self._format = format
        self._mime_type = self._get_mime_type()

    def _get_mime_type(self) -> str:
        """Get MIME type from format or guess from file extension."""
        if self._format:
            return f"image/{self._format.lower()}"

        if self.path:
            suffix = self.path.suffix.lower()
            return {
                ".png": "image/png",
                ".jpg": "image/jpeg",
                ".jpeg": "image/jpeg",
                ".gif": "image/gif",
                ".webp": "image/webp",
            }.get(suffix, "application/octet-stream")
        return "image/png"  # default for raw binary data

    def to_image_content(self) -> ImageContent:
        """Convert to MCP ImageContent."""
        if self.path:
            with open(self.path, "rb") as f:
                data = base64.b64encode(f.read()).decode()
        elif self.data is not None:
            data = base64.b64encode(self.data).decode()
        else:
            raise ValueError("No image data available")

        return ImageContent(type="image", data=data, mimeType=self._mime_type)

========================================
File: "src/mcp/types.py"
Size: 32051 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from typing import (
    Annotated,
    Any,
    Callable,
    Generic,
    Literal,
    TypeAlias,
    TypeVar,
)

from pydantic import BaseModel, ConfigDict, Field, FileUrl, RootModel
from pydantic.networks import AnyUrl, UrlConstraints

"""
Model Context Protocol bindings for Python

These bindings were generated from https://github.com/modelcontextprotocol/specification,
using Claude, with a prompt something like the following:

Generate idiomatic Python bindings for this schema for MCP, or the "Model Context
Protocol." The schema is defined in TypeScript, but there's also a JSON Schema version
for reference.

* For the bindings, let's use Pydantic V2 models.
* Each model should allow extra fields everywhere, by specifying `model_config =
  ConfigDict(extra='allow')`. Do this in every case, instead of a custom base class.
* Union types should be represented with a Pydantic `RootModel`.
* Define additional model classes instead of using dictionaries. Do this even if they're
  not separate types in the schema.
"""

LATEST_PROTOCOL_VERSION = "2024-11-05"

ProgressToken = str | int
Cursor = str
Role = Literal["user", "assistant"]
RequestId = str | int
AnyFunction: TypeAlias = Callable[..., Any]


class RequestParams(BaseModel):
    class Meta(BaseModel):
        progressToken: ProgressToken | None = None
        """
        If specified, the caller is requesting out-of-band progress notifications for
        this request (as represented by notifications/progress). The value of this
        parameter is an opaque token that will be attached to any subsequent
        notifications. The receiver is not obligated to provide these notifications.
        """

        model_config = ConfigDict(extra="allow")

    meta: Meta | None = Field(alias="_meta", default=None)


class NotificationParams(BaseModel):
    class Meta(BaseModel):
        model_config = ConfigDict(extra="allow")

    meta: Meta | None = Field(alias="_meta", default=None)
    """
    This parameter name is reserved by MCP to allow clients and servers to attach
    additional metadata to their notifications.
    """


RequestParamsT = TypeVar("RequestParamsT", bound=RequestParams)
NotificationParamsT = TypeVar("NotificationParamsT", bound=NotificationParams)
MethodT = TypeVar("MethodT", bound=str)


class Request(BaseModel, Generic[RequestParamsT, MethodT]):
    """Base class for JSON-RPC requests."""

    method: MethodT
    params: RequestParamsT
    model_config = ConfigDict(extra="allow")


class PaginatedRequest(Request[RequestParamsT, MethodT]):
    cursor: Cursor | None = None
    """
    An opaque token representing the current pagination position.
    If provided, the server should return results starting after this cursor.
    """


class Notification(BaseModel, Generic[NotificationParamsT, MethodT]):
    """Base class for JSON-RPC notifications."""

    method: MethodT
    model_config = ConfigDict(extra="allow")


class Result(BaseModel):
    """Base class for JSON-RPC results."""

    model_config = ConfigDict(extra="allow")

    meta: dict[str, Any] | None = Field(alias="_meta", default=None)
    """
    This result property is reserved by the protocol to allow clients and servers to
    attach additional metadata to their responses.
    """


class PaginatedResult(Result):
    nextCursor: Cursor | None = None
    """
    An opaque token representing the pagination position after the last returned result.
    If present, there may be more results available.
    """


class JSONRPCRequest(Request):
    """A request that expects a response."""

    jsonrpc: Literal["2.0"]
    id: RequestId
    params: dict[str, Any] | None = None


class JSONRPCNotification(Notification):
    """A notification which does not expect a response."""

    jsonrpc: Literal["2.0"]
    params: dict[str, Any] | None = None


class JSONRPCResponse(BaseModel):
    """A successful (non-error) response to a request."""

    jsonrpc: Literal["2.0"]
    id: RequestId
    result: dict[str, Any]
    model_config = ConfigDict(extra="allow")


# Standard JSON-RPC error codes
PARSE_ERROR = -32700
INVALID_REQUEST = -32600
METHOD_NOT_FOUND = -32601
INVALID_PARAMS = -32602
INTERNAL_ERROR = -32603


class ErrorData(BaseModel):
    """Error information for JSON-RPC error responses."""

    code: int
    """The error type that occurred."""

    message: str
    """
    A short description of the error. The message SHOULD be limited to a concise single
    sentence.
    """

    data: Any | None = None
    """
    Additional information about the error. The value of this member is defined by the
    sender (e.g. detailed error information, nested errors etc.).
    """

    model_config = ConfigDict(extra="allow")


class JSONRPCError(BaseModel):
    """A response to a request that indicates an error occurred."""

    jsonrpc: Literal["2.0"]
    id: str | int
    error: ErrorData
    model_config = ConfigDict(extra="allow")


class JSONRPCMessage(
    RootModel[JSONRPCRequest | JSONRPCNotification | JSONRPCResponse | JSONRPCError]
):
    pass


class EmptyResult(Result):
    """A response that indicates success but carries no data."""


class Implementation(BaseModel):
    """Describes the name and version of an MCP implementation."""

    name: str
    version: str
    model_config = ConfigDict(extra="allow")


class RootsCapability(BaseModel):
    """Capability for root operations."""

    listChanged: bool | None = None
    """Whether the client supports notifications for changes to the roots list."""
    model_config = ConfigDict(extra="allow")


class SamplingCapability(BaseModel):
    """Capability for logging operations."""

    model_config = ConfigDict(extra="allow")


class ClientCapabilities(BaseModel):
    """Capabilities a client may support."""

    experimental: dict[str, dict[str, Any]] | None = None
    """Experimental, non-standard capabilities that the client supports."""
    sampling: SamplingCapability | None = None
    """Present if the client supports sampling from an LLM."""
    roots: RootsCapability | None = None
    """Present if the client supports listing roots."""
    model_config = ConfigDict(extra="allow")


class PromptsCapability(BaseModel):
    """Capability for prompts operations."""

    listChanged: bool | None = None
    """Whether this server supports notifications for changes to the prompt list."""
    model_config = ConfigDict(extra="allow")


class ResourcesCapability(BaseModel):
    """Capability for resources operations."""

    subscribe: bool | None = None
    """Whether this server supports subscribing to resource updates."""
    listChanged: bool | None = None
    """Whether this server supports notifications for changes to the resource list."""
    model_config = ConfigDict(extra="allow")


class ToolsCapability(BaseModel):
    """Capability for tools operations."""

    listChanged: bool | None = None
    """Whether this server supports notifications for changes to the tool list."""
    model_config = ConfigDict(extra="allow")


class LoggingCapability(BaseModel):
    """Capability for logging operations."""

    model_config = ConfigDict(extra="allow")


class ServerCapabilities(BaseModel):
    """Capabilities that a server may support."""

    experimental: dict[str, dict[str, Any]] | None = None
    """Experimental, non-standard capabilities that the server supports."""
    logging: LoggingCapability | None = None
    """Present if the server supports sending log messages to the client."""
    prompts: PromptsCapability | None = None
    """Present if the server offers any prompt templates."""
    resources: ResourcesCapability | None = None
    """Present if the server offers any resources to read."""
    tools: ToolsCapability | None = None
    """Present if the server offers any tools to call."""
    model_config = ConfigDict(extra="allow")


class InitializeRequestParams(RequestParams):
    """Parameters for the initialize request."""

    protocolVersion: str | int
    """The latest version of the Model Context Protocol that the client supports."""
    capabilities: ClientCapabilities
    clientInfo: Implementation
    model_config = ConfigDict(extra="allow")


class InitializeRequest(Request):
    """
    This request is sent from the client to the server when it first connects, asking it
    to begin initialization.
    """

    method: Literal["initialize"]
    params: InitializeRequestParams


class InitializeResult(Result):
    """After receiving an initialize request from the client, the server sends this."""

    protocolVersion: str | int
    """The version of the Model Context Protocol that the server wants to use."""
    capabilities: ServerCapabilities
    serverInfo: Implementation
    instructions: str | None = None
    """Instructions describing how to use the server and its features."""


class InitializedNotification(Notification):
    """
    This notification is sent from the client to the server after initialization has
    finished.
    """

    method: Literal["notifications/initialized"]
    params: NotificationParams | None = None


class PingRequest(Request):
    """
    A ping, issued by either the server or the client, to check that the other party is
    still alive.
    """

    method: Literal["ping"]
    params: RequestParams | None = None


class ProgressNotificationParams(NotificationParams):
    """Parameters for progress notifications."""

    progressToken: ProgressToken
    """
    The progress token which was given in the initial request, used to associate this
    notification with the request that is proceeding.
    """
    progress: float
    """
    The progress thus far. This should increase every time progress is made, even if the
    total is unknown.
    """
    total: float | None = None
    """Total number of items to process (or total progress required), if known."""
    model_config = ConfigDict(extra="allow")


class ProgressNotification(Notification):
    """
    An out-of-band notification used to inform the receiver of a progress update for a
    long-running request.
    """

    method: Literal["notifications/progress"]
    params: ProgressNotificationParams


class ListResourcesRequest(PaginatedRequest):
    """Sent from the client to request a list of resources the server has."""

    method: Literal["resources/list"]
    params: RequestParams | None = None


class Annotations(BaseModel):
    audience: list[Role] | None = None
    priority: Annotated[float, Field(ge=0.0, le=1.0)] | None = None
    model_config = ConfigDict(extra="allow")


class Resource(BaseModel):
    """A known resource that the server is capable of reading."""

    uri: Annotated[AnyUrl, UrlConstraints(host_required=False)]
    """The URI of this resource."""
    name: str
    """A human-readable name for this resource."""
    description: str | None = None
    """A description of what this resource represents."""
    mimeType: str | None = None
    """The MIME type of this resource, if known."""
    size: int | None = None
    """
    The size of the raw resource content, in bytes (i.e., before base64 encoding
    or any tokenization), if known.

    This can be used by Hosts to display file sizes and estimate context window usage.
    """
    annotations: Annotations | None = None
    model_config = ConfigDict(extra="allow")


class ResourceTemplate(BaseModel):
    """A template description for resources available on the server."""

    uriTemplate: str
    """
    A URI template (according to RFC 6570) that can be used to construct resource
    URIs.
    """
    name: str
    """A human-readable name for the type of resource this template refers to."""
    description: str | None = None
    """A human-readable description of what this template is for."""
    mimeType: str | None = None
    """
    The MIME type for all resources that match this template. This should only be
    included if all resources matching this template have the same type.
    """
    annotations: Annotations | None = None
    model_config = ConfigDict(extra="allow")


class ListResourcesResult(PaginatedResult):
    """The server's response to a resources/list request from the client."""

    resources: list[Resource]


class ListResourceTemplatesRequest(PaginatedRequest):
    """Sent from the client to request a list of resource templates the server has."""

    method: Literal["resources/templates/list"]
    params: RequestParams | None = None


class ListResourceTemplatesResult(PaginatedResult):
    """The server's response to a resources/templates/list request from the client."""

    resourceTemplates: list[ResourceTemplate]


class ReadResourceRequestParams(RequestParams):
    """Parameters for reading a resource."""

    uri: Annotated[AnyUrl, UrlConstraints(host_required=False)]
    """
    The URI of the resource to read. The URI can use any protocol; it is up to the
    server how to interpret it.
    """
    model_config = ConfigDict(extra="allow")


class ReadResourceRequest(Request):
    """Sent from the client to the server, to read a specific resource URI."""

    method: Literal["resources/read"]
    params: ReadResourceRequestParams


class ResourceContents(BaseModel):
    """The contents of a specific resource or sub-resource."""

    uri: Annotated[AnyUrl, UrlConstraints(host_required=False)]
    """The URI of this resource."""
    mimeType: str | None = None
    """The MIME type of this resource, if known."""
    model_config = ConfigDict(extra="allow")


class TextResourceContents(ResourceContents):
    """Text contents of a resource."""

    text: str
    """
    The text of the item. This must only be set if the item can actually be represented
    as text (not binary data).
    """


class BlobResourceContents(ResourceContents):
    """Binary contents of a resource."""

    blob: str
    """A base64-encoded string representing the binary data of the item."""


class ReadResourceResult(Result):
    """The server's response to a resources/read request from the client."""

    contents: list[TextResourceContents | BlobResourceContents]


class ResourceListChangedNotification(Notification):
    """
    An optional notification from the server to the client, informing it that the list
    of resources it can read from has changed.
    """

    method: Literal["notifications/resources/list_changed"]
    params: NotificationParams | None = None


class SubscribeRequestParams(RequestParams):
    """Parameters for subscribing to a resource."""

    uri: Annotated[AnyUrl, UrlConstraints(host_required=False)]
    """
    The URI of the resource to subscribe to. The URI can use any protocol; it is up to
    the server how to interpret it.
    """
    model_config = ConfigDict(extra="allow")


class SubscribeRequest(Request):
    """
    Sent from the client to request resources/updated notifications from the server
    whenever a particular resource changes.
    """

    method: Literal["resources/subscribe"]
    params: SubscribeRequestParams


class UnsubscribeRequestParams(RequestParams):
    """Parameters for unsubscribing from a resource."""

    uri: Annotated[AnyUrl, UrlConstraints(host_required=False)]
    """The URI of the resource to unsubscribe from."""
    model_config = ConfigDict(extra="allow")


class UnsubscribeRequest(Request):
    """
    Sent from the client to request cancellation of resources/updated notifications from
    the server.
    """

    method: Literal["resources/unsubscribe"]
    params: UnsubscribeRequestParams


class ResourceUpdatedNotificationParams(NotificationParams):
    """Parameters for resource update notifications."""

    uri: Annotated[AnyUrl, UrlConstraints(host_required=False)]
    """
    The URI of the resource that has been updated. This might be a sub-resource of the
    one that the client actually subscribed to.
    """
    model_config = ConfigDict(extra="allow")


class ResourceUpdatedNotification(Notification):
    """
    A notification from the server to the client, informing it that a resource has
    changed and may need to be read again.
    """

    method: Literal["notifications/resources/updated"]
    params: ResourceUpdatedNotificationParams


class ListPromptsRequest(PaginatedRequest):
    """Sent from the client to request a list of prompts and prompt templates."""

    method: Literal["prompts/list"]
    params: RequestParams | None = None


class PromptArgument(BaseModel):
    """An argument for a prompt template."""

    name: str
    """The name of the argument."""
    description: str | None = None
    """A human-readable description of the argument."""
    required: bool | None = None
    """Whether this argument must be provided."""
    model_config = ConfigDict(extra="allow")


class Prompt(BaseModel):
    """A prompt or prompt template that the server offers."""

    name: str
    """The name of the prompt or prompt template."""
    description: str | None = None
    """An optional description of what this prompt provides."""
    arguments: list[PromptArgument] | None = None
    """A list of arguments to use for templating the prompt."""
    model_config = ConfigDict(extra="allow")


class ListPromptsResult(PaginatedResult):
    """The server's response to a prompts/list request from the client."""

    prompts: list[Prompt]


class GetPromptRequestParams(RequestParams):
    """Parameters for getting a prompt."""

    name: str
    """The name of the prompt or prompt template."""
    arguments: dict[str, str] | None = None
    """Arguments to use for templating the prompt."""
    model_config = ConfigDict(extra="allow")


class GetPromptRequest(Request):
    """Used by the client to get a prompt provided by the server."""

    method: Literal["prompts/get"]
    params: GetPromptRequestParams


class TextContent(BaseModel):
    """Text content for a message."""

    type: Literal["text"]
    text: str
    """The text content of the message."""
    annotations: Annotations | None = None
    model_config = ConfigDict(extra="allow")


class ImageContent(BaseModel):
    """Image content for a message."""

    type: Literal["image"]
    data: str
    """The base64-encoded image data."""
    mimeType: str
    """
    The MIME type of the image. Different providers may support different
    image types.
    """
    annotations: Annotations | None = None
    model_config = ConfigDict(extra="allow")


class SamplingMessage(BaseModel):
    """Describes a message issued to or received from an LLM API."""

    role: Role
    content: TextContent | ImageContent
    model_config = ConfigDict(extra="allow")


class EmbeddedResource(BaseModel):
    """
    The contents of a resource, embedded into a prompt or tool call result.

    It is up to the client how best to render embedded resources for the benefit
    of the LLM and/or the user.
    """

    type: Literal["resource"]
    resource: TextResourceContents | BlobResourceContents
    annotations: Annotations | None = None
    model_config = ConfigDict(extra="allow")


class PromptMessage(BaseModel):
    """Describes a message returned as part of a prompt."""

    role: Role
    content: TextContent | ImageContent | EmbeddedResource
    model_config = ConfigDict(extra="allow")


class GetPromptResult(Result):
    """The server's response to a prompts/get request from the client."""

    description: str | None = None
    """An optional description for the prompt."""
    messages: list[PromptMessage]


class PromptListChangedNotification(Notification):
    """
    An optional notification from the server to the client, informing it that the list
    of prompts it offers has changed.
    """

    method: Literal["notifications/prompts/list_changed"]
    params: NotificationParams | None = None


class ListToolsRequest(PaginatedRequest):
    """Sent from the client to request a list of tools the server has."""

    method: Literal["tools/list"]
    params: RequestParams | None = None


class Tool(BaseModel):
    """Definition for a tool the client can call."""

    name: str
    """The name of the tool."""
    description: str | None = None
    """A human-readable description of the tool."""
    inputSchema: dict[str, Any]
    """A JSON Schema object defining the expected parameters for the tool."""
    model_config = ConfigDict(extra="allow")


class ListToolsResult(PaginatedResult):
    """The server's response to a tools/list request from the client."""

    tools: list[Tool]


class CallToolRequestParams(RequestParams):
    """Parameters for calling a tool."""

    name: str
    arguments: dict[str, Any] | None = None
    model_config = ConfigDict(extra="allow")


class CallToolRequest(Request):
    """Used by the client to invoke a tool provided by the server."""

    method: Literal["tools/call"]
    params: CallToolRequestParams


class CallToolResult(Result):
    """The server's response to a tool call."""

    content: list[TextContent | ImageContent | EmbeddedResource]
    isError: bool = False


class ToolListChangedNotification(Notification):
    """
    An optional notification from the server to the client, informing it that the list
    of tools it offers has changed.
    """

    method: Literal["notifications/tools/list_changed"]
    params: NotificationParams | None = None


LoggingLevel = Literal[
    "debug", "info", "notice", "warning", "error", "critical", "alert", "emergency"
]


class SetLevelRequestParams(RequestParams):
    """Parameters for setting the logging level."""

    level: LoggingLevel
    """The level of logging that the client wants to receive from the server."""
    model_config = ConfigDict(extra="allow")


class SetLevelRequest(Request):
    """A request from the client to the server, to enable or adjust logging."""

    method: Literal["logging/setLevel"]
    params: SetLevelRequestParams


class LoggingMessageNotificationParams(NotificationParams):
    """Parameters for logging message notifications."""

    level: LoggingLevel
    """The severity of this log message."""
    logger: str | None = None
    """An optional name of the logger issuing this message."""
    data: Any
    """
    The data to be logged, such as a string message or an object. Any JSON serializable
    type is allowed here.
    """
    model_config = ConfigDict(extra="allow")


class LoggingMessageNotification(Notification):
    """Notification of a log message passed from server to client."""

    method: Literal["notifications/message"]
    params: LoggingMessageNotificationParams


IncludeContext = Literal["none", "thisServer", "allServers"]


class ModelHint(BaseModel):
    """Hints to use for model selection."""

    name: str | None = None
    """A hint for a model name."""

    model_config = ConfigDict(extra="allow")


class ModelPreferences(BaseModel):
    """
    The server's preferences for model selection, requested of the client during
    sampling.

    Because LLMs can vary along multiple dimensions, choosing the "best" model is
    rarely straightforward.  Different models excel in different areas—some are
    faster but less capable, others are more capable but more expensive, and so
    on. This interface allows servers to express their priorities across multiple
    dimensions to help clients make an appropriate selection for their use case.

    These preferences are always advisory. The client MAY ignore them. It is also
    up to the client to decide how to interpret these preferences and how to
    balance them against other considerations.
    """

    hints: list[ModelHint] | None = None
    """
    Optional hints to use for model selection.

    If multiple hints are specified, the client MUST evaluate them in order
    (such that the first match is taken).

    The client SHOULD prioritize these hints over the numeric priorities, but
    MAY still use the priorities to select from ambiguous matches.
    """

    costPriority: float | None = None
    """
    How much to prioritize cost when selecting a model. A value of 0 means cost
    is not important, while a value of 1 means cost is the most important
    factor.
    """

    speedPriority: float | None = None
    """
    How much to prioritize sampling speed (latency) when selecting a model. A
    value of 0 means speed is not important, while a value of 1 means speed is
    the most important factor.
    """

    intelligencePriority: float | None = None
    """
    How much to prioritize intelligence and capabilities when selecting a
    model. A value of 0 means intelligence is not important, while a value of 1
    means intelligence is the most important factor.
    """

    model_config = ConfigDict(extra="allow")


class CreateMessageRequestParams(RequestParams):
    """Parameters for creating a message."""

    messages: list[SamplingMessage]
    modelPreferences: ModelPreferences | None = None
    """
    The server's preferences for which model to select. The client MAY ignore
    these preferences.
    """
    systemPrompt: str | None = None
    """An optional system prompt the server wants to use for sampling."""
    includeContext: IncludeContext | None = None
    """
    A request to include context from one or more MCP servers (including the caller), to
    be attached to the prompt.
    """
    temperature: float | None = None
    maxTokens: int
    """The maximum number of tokens to sample, as requested by the server."""
    stopSequences: list[str] | None = None
    metadata: dict[str, Any] | None = None
    """Optional metadata to pass through to the LLM provider."""
    model_config = ConfigDict(extra="allow")


class CreateMessageRequest(Request):
    """A request from the server to sample an LLM via the client."""

    method: Literal["sampling/createMessage"]
    params: CreateMessageRequestParams


StopReason = Literal["endTurn", "stopSequence", "maxTokens"] | str


class CreateMessageResult(Result):
    """The client's response to a sampling/create_message request from the server."""

    role: Role
    content: TextContent | ImageContent
    model: str
    """The name of the model that generated the message."""
    stopReason: StopReason | None = None
    """The reason why sampling stopped, if known."""


class ResourceReference(BaseModel):
    """A reference to a resource or resource template definition."""

    type: Literal["ref/resource"]
    uri: str
    """The URI or URI template of the resource."""
    model_config = ConfigDict(extra="allow")


class PromptReference(BaseModel):
    """Identifies a prompt."""

    type: Literal["ref/prompt"]
    name: str
    """The name of the prompt or prompt template"""
    model_config = ConfigDict(extra="allow")


class CompletionArgument(BaseModel):
    """The argument's information for completion requests."""

    name: str
    """The name of the argument"""
    value: str
    """The value of the argument to use for completion matching."""
    model_config = ConfigDict(extra="allow")


class CompleteRequestParams(RequestParams):
    """Parameters for completion requests."""

    ref: ResourceReference | PromptReference
    argument: CompletionArgument
    model_config = ConfigDict(extra="allow")


class CompleteRequest(Request):
    """A request from the client to the server, to ask for completion options."""

    method: Literal["completion/complete"]
    params: CompleteRequestParams


class Completion(BaseModel):
    """Completion information."""

    values: list[str]
    """An array of completion values. Must not exceed 100 items."""
    total: int | None = None
    """
    The total number of completion options available. This can exceed the number of
    values actually sent in the response.
    """
    hasMore: bool | None = None
    """
    Indicates whether there are additional completion options beyond those provided in
    the current response, even if the exact total is unknown.
    """
    model_config = ConfigDict(extra="allow")


class CompleteResult(Result):
    """The server's response to a completion/complete request"""

    completion: Completion


class ListRootsRequest(Request):
    """
    Sent from the server to request a list of root URIs from the client. Roots allow
    servers to ask for specific directories or files to operate on. A common example
    for roots is providing a set of repositories or directories a server should operate
    on.

    This request is typically used when the server needs to understand the file system
    structure or access specific locations that the client has permission to read from.
    """

    method: Literal["roots/list"]
    params: RequestParams | None = None


class Root(BaseModel):
    """Represents a root directory or file that the server can operate on."""

    uri: FileUrl
    """
    The URI identifying the root. This *must* start with file:// for now.
    This restriction may be relaxed in future versions of the protocol to allow
    other URI schemes.
    """
    name: str | None = None
    """
    An optional name for the root. This can be used to provide a human-readable
    identifier for the root, which may be useful for display purposes or for
    referencing the root in other parts of the application.
    """
    model_config = ConfigDict(extra="allow")


class ListRootsResult(Result):
    """
    The client's response to a roots/list request from the server.
    This result contains an array of Root objects, each representing a root directory
    or file that the server can operate on.
    """

    roots: list[Root]


class RootsListChangedNotification(Notification):
    """
    A notification from the client to the server, informing it that the list of
    roots has changed.

    This notification should be sent whenever the client adds, removes, or
    modifies any root. The server should then request an updated list of roots
    using the ListRootsRequest.
    """

    method: Literal["notifications/roots/list_changed"]
    params: NotificationParams | None = None


class CancelledNotificationParams(NotificationParams):
    """Parameters for cancellation notifications."""

    requestId: RequestId
    """The ID of the request to cancel."""
    reason: str | None = None
    """An optional string describing the reason for the cancellation."""
    model_config = ConfigDict(extra="allow")


class CancelledNotification(Notification):
    """
    This notification can be sent by either side to indicate that it is cancelling a
    previously-issued request.
    """

    method: Literal["notifications/cancelled"]
    params: CancelledNotificationParams


class ClientRequest(
    RootModel[
        PingRequest
        | InitializeRequest
        | CompleteRequest
        | SetLevelRequest
        | GetPromptRequest
        | ListPromptsRequest
        | ListResourcesRequest
        | ListResourceTemplatesRequest
        | ReadResourceRequest
        | SubscribeRequest
        | UnsubscribeRequest
        | CallToolRequest
        | ListToolsRequest
    ]
):
    pass


class ClientNotification(
    RootModel[
        CancelledNotification
        | ProgressNotification
        | InitializedNotification
        | RootsListChangedNotification
    ]
):
    pass


class ClientResult(RootModel[EmptyResult | CreateMessageResult | ListRootsResult]):
    pass


class ServerRequest(RootModel[PingRequest | CreateMessageRequest | ListRootsRequest]):
    pass


class ServerNotification(
    RootModel[
        CancelledNotification
        | ProgressNotification
        | LoggingMessageNotification
        | ResourceUpdatedNotification
        | ResourceListChangedNotification
        | ToolListChangedNotification
        | PromptListChangedNotification
    ]
):
    pass


class ServerResult(
    RootModel[
        EmptyResult
        | InitializeResult
        | CompleteResult
        | GetPromptResult
        | ListPromptsResult
        | ListResourcesResult
        | ListResourceTemplatesResult
        | ReadResourceResult
        | CallToolResult
        | ListToolsResult
    ]
):
    pass

========================================
File: "src/mcp/shared/version.py"
Size: 106 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
from mcp.types import LATEST_PROTOCOL_VERSION

SUPPORTED_PROTOCOL_VERSIONS = [1, LATEST_PROTOCOL_VERSION]

========================================
File: "src/mcp/server/websocket.py"
Size: 2225 bytes
Last Modified: SystemTime { tv_sec: 1740722655, tv_nsec: 571457412 }
========================================
import logging
from contextlib import asynccontextmanager

import anyio
from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream
from starlette.types import Receive, Scope, Send
from starlette.websockets import WebSocket

import mcp.types as types

logger = logging.getLogger(__name__)


@asynccontextmanager
async def websocket_server(scope: Scope, receive: Receive, send: Send):
    """
    WebSocket server transport for MCP. This is an ASGI application, suitable to be
    used with a framework like Starlette and a server like Hypercorn.
    """

    websocket = WebSocket(scope, receive, send)
    await websocket.accept(subprotocol="mcp")

    read_stream: MemoryObjectReceiveStream[types.JSONRPCMessage | Exception]
    read_stream_writer: MemoryObjectSendStream[types.JSONRPCMessage | Exception]

    write_stream: MemoryObjectSendStream[types.JSONRPCMessage]
    write_stream_reader: MemoryObjectReceiveStream[types.JSONRPCMessage]

    read_stream_writer, read_stream = anyio.create_memory_object_stream(0)
    write_stream, write_stream_reader = anyio.create_memory_object_stream(0)

    async def ws_reader():
        try:
            async with read_stream_writer:
                async for message in websocket.iter_json():
                    try:
                        client_message = types.JSONRPCMessage.model_validate(message)
                    except Exception as exc:
                        await read_stream_writer.send(exc)
                        continue

                    await read_stream_writer.send(client_message)
        except anyio.ClosedResourceError:
            await websocket.close()

    async def ws_writer():
        try:
            async with write_stream_reader:
                async for message in write_stream_reader:
                    obj = message.model_dump(
                        by_alias=True, mode="json", exclude_none=True
                    )
                    await websocket.send_json(obj)
        except anyio.ClosedResourceError:
            await websocket.close()

    async with anyio.create_task_group() as tg:
        tg.start_soon(ws_reader)
        tg.start_soon(ws_writer)
        yield (read_stream, write_stream)


