Metadata-Version: 2.4
Name: agent-spawn-mcp
Version: 1.1.0
Summary: Universal MCP server for any OpenAI-compatible LLM. Supports OpenAI and Anthropic API formats.
Project-URL: Homepage, https://github.com/sandsaber/AgentSpawnMCP
Project-URL: Issues, https://github.com/sandsaber/AgentSpawnMCP/issues
Author-email: Michael Makarov <michael@pleroma.studio>
License: MIT
License-File: LICENSE
Keywords: agent,anthropic,llm,mcp,openai,universal
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.11
Requires-Dist: httpx>=0.28.1
Requires-Dist: mcp[cli]>=1.13.1
Requires-Dist: pydantic>=2.9.0
Requires-Dist: python-dotenv>=1.0.1
Requires-Dist: pyyaml>=6.0.2
Requires-Dist: typer>=0.21.0
Description-Content-Type: text/markdown

# AgentSpawnMCP

Universal MCP server for any OpenAI-compatible LLM. Supports OpenAI and Anthropic API formats, cloud providers (OpenAI, Grok, Claude, Minimax, DeepSeek) and local models (Ollama, LM Studio, Jan). Built on FastMCP with pure httpx.

## Quick Start — Spawn Agents

```bash
# No install needed — run directly with uvx
uvx agent-spawn-mcp spawn \
  --name minimax \
  --url https://api.minimax.io/anthropic/v1 \
  --token your-token \
  --model MiniMax-M2.7 \
  --api-type anthropic
```

Or install globally:

```bash
pip install agent-spawn-mcp
agent-spawn-mcp spawn --name minimax --url https://api.minimax.io --token TOKEN --model MiniMax-M2.7
```

## API Types

- `--api-type openai` (default) — OpenAI-compatible (`chat/completions`)
- `--api-type anthropic` — Anthropic API (`v1/messages`)

### URL versioning

Pass `--url` pointing directly at the API root. If your base URL already contains
a version segment (e.g. `…/paas/v4`), the client will **not** re-append `v1/`.
Examples:

| Provider       | `--url`                                      | `--api-type` |
|----------------|----------------------------------------------|--------------|
| OpenAI         | `https://api.openai.com/v1`                  | openai       |
| Grok           | `https://api.x.ai/v1`                        | openai       |
| z.ai (primary) | `https://api.z.ai/api/paas/v4`               | openai       |
| z.ai (coding)  | `https://api.z.ai/api/coding/paas/v4`        | openai       |
| z.ai Anthropic | `https://api.z.ai/api/anthropic`             | anthropic    |
| Anthropic      | `https://api.anthropic.com`                  | anthropic    |
| Minimax        | `https://api.minimax.io/anthropic/v1`        | anthropic    |

## Claude Code / OpenCode Integration

Add to your `.mcp.json`:

```json
{
  "mcpServers": {
    "minimax-agent": {
      "command": "uvx",
      "args": ["agent-spawn-mcp", "spawn",
               "--name", "minimax",
               "--url", "https://api.minimax.io/anthropic/v1",
               "--token", "your-minimax-token",
               "--model", "MiniMax-M2.7",
               "--api-type", "anthropic"]
    },
    "claude-agent": {
      "command": "uvx",
      "args": ["agent-spawn-mcp", "spawn",
               "--name", "claude",
               "--url", "https://api.anthropic.com",
               "--token", "your-anthropic-token",
               "--model", "claude-sonnet-4-20250514",
               "--api-type", "anthropic"]
    },
    "glm-agent": {
      "command": "uvx",
      "args": ["agent-spawn-mcp", "spawn",
               "--name", "glm",
               "--url", "https://api.z.ai/api/paas/v4",
               "--token", "your-zai-token",
               "--model", "glm-5.1"]
    },
    "glm-turbo-agent": {
      "command": "uvx",
      "args": ["agent-spawn-mcp", "spawn",
               "--name", "glm-turbo",
               "--url", "https://api.z.ai/api/paas/v4",
               "--token", "your-zai-token",
               "--model", "glm-5-turbo"]
    }
  }
}
```

**Gotchas:**
- Each entry in `.mcp.json` must use a unique `--name` — it becomes the tool
  name `{name}_agent`, and duplicates collide.
- `--token` on the command line is visible in `ps` output and some crash logs.
  Prefer keeping the MCP config file read-protected (`chmod 600`).

## Tools Exposed

- `{name}_agent(task, model?, system_prompt?, temperature?, max_tokens?, timeout?)` — Spawn agent
- `agent_info()` — Get provider info

## Return Format

```python
{
    "result": "...",  # Agent response text
    "metadata": {
        "provider": "minimax",
        "model_used": "MiniMax-M2.7",
        "usage": {"prompt_tokens": 100, "completion_tokens": 500},
        "latency_ms": 2340
    }
}
```

---

## AgentSpawnMCP — Full Server

Full MCP server with all tools (chat, vision, files, search, agent). Requires git clone.

```bash
git clone https://github.com/sandsaber/AgentSpawnMCP
cd AgentSpawnMCP
uv sync
cp example.env .env
# Edit .env with your tokens

uv run python main.py main --provider grok
```

### Auto-Discovery

Providers auto-detected when env var is set:

| Env Var | Provider |
|---------|----------|
| `XAI_TOKEN` | Grok |
| `OPENAI_TOKEN` | OpenAI |
| `GROQ_TOKEN` | Groq |
| `DEEPSEEK_TOKEN` | DeepSeek |
| `ZAI_TOKEN` | z.ai (GLM) |

### Available Tools (Full Server)

| Tool | Description |
|------|-------------|
| `list_providers` | All discovered providers |
| `list_models` | Models for the active provider |
| `chat` | Text completion with session history |
| `stateful_chat` | Server-side conversation |
| `chat_with_vision` | Analyze images (jpg/jpeg/png) |
| `generate_image` | Create or edit images (OpenAI-format only) |
| `upload_file` / `list_files` / `get_file_content` / `delete_file` | File management |
| `chat_with_files` | Chat with documents |
| `web_search` | Agentic web search |
| `code_executor` | Execute code |
| `agent` | Unified agent |
| `list_chat_sessions` / `get_chat_history` / `clear_chat_history` | Session history |

---

## Image generation support

`generate_image` targets the OpenAI `/images/generations` request shape
(`model` / `prompt` / `n` / `image_url`). Providers that expose the same
shape (OpenAI `dall-e-3`, Grok `grok-imagine-image`) work out of the box.

Providers with custom image APIs are **not** currently supported:
- z.ai (`glm-image`, `cogview-4-250304`) expects `quality` / `size` / `user_id`
  at `/paas/v4/images/generations`, not the OpenAI shape.
- Anthropic-compat endpoints don't expose image generation at all.

For these, use the provider's native HTTP API directly.

## License

MIT License

Copyright (c) 2025 Michael Makarov

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
