Metadata-Version: 2.4
Name: agentmount
Version: 1.0.0
Summary: Make a FastAPI app agent-ready in one line.
Project-URL: Homepage, https://github.com/agentmount/agentmount
Project-URL: Documentation, https://github.com/agentmount/agentmount#readme
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Author: agentmount contributors
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License-File: LICENSE
Keywords: agents,fastapi,llm,mcp,model-context-protocol,tools
Classifier: Framework :: FastAPI
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.11
Requires-Dist: fastapi>=0.110.0
Requires-Dist: httpx>=0.27.0
Requires-Dist: mcp>=0.1.0
Requires-Dist: pydantic>=2.0.0
Provides-Extra: dev
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Description-Content-Type: text/markdown

# agentmount

Make a FastAPI app agent-ready with clear, safe defaults.

agentmount turns selected FastAPI routes into agent-callable tools and exposes:

- an agent manifest at /.well-known/agent.json
- an OpenAI-compatible tool list at /.well-known/openai-tools.json
- an MCP endpoint at /mcp

The core design choice is internal ASGI loopback dispatch, so agent calls flow through your existing FastAPI stack (middleware, auth, validation, logging, error handlers) instead of bypassing it.

## Current status

This repository is ready for the `1.0.0` release cut.

Implemented now:

- project foundation, packaging, lint/type/test setup
- decorator metadata model with rate limit syntax validation
- in-memory registry with duplicate detection
- scanner that converts FastAPI routes into ToolSpec records with skip reasons
- enable_agents wiring and state container
- manifest and OpenAI tools endpoints
- MCP transport with tools/list and tools/call via ASGI loopback
- runtime rate limiting and audit logging
- inspect CLI (`python -m agentmount inspect <module>:<app>`)
- end-to-end and unit tests across core, transports, scanner, registry, and CLI

Release status:

- lint, type-checking, tests, and local artifact builds are passing
- tutorial and runnable example app are complete
- remaining release work is external: tag, publish, and announce

For milestone details, see [ROADMAP.md](ROADMAP.md).

For a runnable end-to-end example, start with [docs/tutorial.md](docs/tutorial.md)
and [examples/shop/README.md](examples/shop/README.md).

## Why agentmount

Typical approaches to agent integration are either brittle or framework-specific wrappers. agentmount aims to be:

- FastAPI-native
- MCP-first
- explicit and opt-in by default
- easy to adopt incrementally

### Design principles

- Safe defaults: only explicitly exposed routes are agent-callable by default.
- Keep framework behavior: route execution goes through FastAPI, not a custom mini-framework.
- Deterministic outputs: scanner and manifests are stable and testable.
- Small public API: prefer a single clear entry point.

## Planned public usage

```python
from fastapi import FastAPI
from agentmount import enable_agents, agent_tool

app = FastAPI()

@app.post("/cart/items")
@agent_tool(description="Add a product to the cart", rate_limit="10/min")
def add_to_cart(item: dict) -> dict:
    return {"ok": True}

enable_agents(app)
```

Notes:

- `enable_agents` is fully implemented and mounts all discovery/transport endpoints.
- The scanner, decorator, registry, transports, and runtime controls are implemented and tested.

You can inspect any app locally before starting a server:

```bash
python -m agentmount inspect examples.shop.app:app
```

## Exposure model (v1)

Scanner supports three exposure modes:

- decorated: only routes marked with @agent_tool() are included
- tagged: routes with a specific FastAPI tag are included (plus decorated overrides)
- all: all supported HTTP routes are included

Unsupported route shapes are not silently accepted; they are returned as skipped with explicit reasons (for example UploadFile, websocket routes, streaming responses, Depends, and BackgroundTasks in current scanner scope).

## Architecture at a glance

```text
Agent client
   -> /mcp, /.well-known/agent.json, /.well-known/openai-tools.json
   -> agentmount transport layer
   -> ASGI loopback dispatch (httpx ASGITransport)
   -> existing FastAPI app middleware + route handler
```

See [docs/architecture.md](docs/architecture.md) for the full rationale and locked decisions.

## MCP security boundary

For `tools/call`, agentmount forwards only the `Authorization` header from the incoming MCP request into loopback tool execution.

- `Authorization` is forwarded so existing FastAPI auth dependencies continue to work.
- Other inbound headers are intentionally dropped to reduce header-injection risk across the MCP boundary.

## Development quickstart

### Requirements

- Python 3.11+

### Setup

```bash
pip install -e .[dev]
```

or with uv:

```bash
uv sync --all-extras
```

### Run checks

```bash
ruff check .
ruff format --check .
mypy src
pytest -q
```

### Pre-commit

```bash
pre-commit install
pre-commit run --all-files
```

## Test status (implemented slices)

- tests/test_smoke.py
- tests/test_decorators.py
- tests/test_registry.py
- tests/test_scanner.py
- tests/test_core.py
- tests/test_manifest.py
- tests/test_openai_tools.py
- tests/test_mcp.py
- tests/test_ratelimit.py
- tests/test_audit.py
- tests/test_inspect_cli.py

These are currently passing in local full-suite runs.

## Repository structure

```text
src/agentmount/
  core.py            public entry point (enable_agents)
  decorators.py      @agent_tool metadata decorator
  registry.py        in-memory ToolSpec registry
  scanner.py         FastAPI route scanning and filtering
  schema.py          ToolSpec and schema builders
  ratelimit.py       runtime limiter
  audit.py           audit logging
  transports/        manifest, OpenAI tools, MCP mounts
  __main__.py        inspect CLI
  _internal/         internal dispatch helpers

tests/
  scanner/decorator/registry/core/transports/ratelimit/audit/cli coverage

docs/
  architecture and manifest spec
```

## Documentation

- Architecture: [docs/architecture.md](docs/architecture.md)
- Manifest spec: [docs/agent-json-spec.md](docs/agent-json-spec.md)
- Roadmap: [ROADMAP.md](ROADMAP.md)
- Contributing: [CONTRIBUTING.md](CONTRIBUTING.md)

## Road to 1.0

The 1.0 scope is intentionally narrow:

- FastAPI only
- MCP + manifest + OpenAI tool export
- rate limiting + audit logging
- inspect CLI

Out of scope for 1.0 includes approval flows, auth provider modules, websocket/file tool support, and hosted control planes.

## Contributing

Issues and PRs are welcome. Please read [CONTRIBUTING.md](CONTRIBUTING.md) before opening a PR, and keep changes aligned with [docs/architecture.md](docs/architecture.md).

## License

Apache-2.0. See [LICENSE](LICENSE).
