🐍 FastAPI Docs MCP Server 🤖

Real-time FastAPI documentation access for AI assistants

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An MCP (Model Context Protocol) server that provides real-time access to FastAPI documentation. Use it with Claude, GitHub Copilot, or any MCP-compatible client to instantly query FastAPI docs.

Features

• Real-time documentation — Fetches directly from fastapi.tiangolo.com
• Smart search — Find docs by keyword with common alias support
• Full sitemap access — Browse all available documentation pages
• Code examples — Get just the code, no prose
• Compare approaches — Side-by-side comparisons of different patterns

Tools

Tool	Description
get_fastapi_docs(path)	Fetch any documentation page by path
search_fastapi_docs(query)	Search docs by keyword (with alias support)
list_fastapi_pages()	List all available documentation pages
get_fastapi_example(topic)	Get just the code examples, no prose
compare_fastapi_approaches(topic)	Compare different approaches side-by-side
get_fastapi_best_practices(topic)	Get combined best practices from multiple pages

Examples

Once connected, ask your AI assistant:

• "How do I set up CORS in FastAPI?"
• "Show me the FastAPI security documentation"
• "What are FastAPI dependencies?"
• "List all FastAPI tutorial pages"
• "Give me a code example for JWT authentication"
• "Compare sync vs async in FastAPI"
• "What are the best practices for testing in FastAPI?"

Installation

git clone https://github.com/jaredthivener/fastapi-docs-mcp.git
cd fastapi-docs-mcp
uv sync

Usage

With Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "fastapi-docs": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/fastapi-docs-mcp", "python", "main.py"]
    }
  }
}

With VS Code (GitHub Copilot)

Add to .vscode/mcp.json in your workspace:

{
  "servers": {
    "fastapi-docs": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/fastapi-docs-mcp", "python", "main.py"]
    }
  }
}

With Docker

Build the image locally:

docker build -t fastapi-docs-mcp .

Then use this MCP server config:

{
  "servers": {
    "fastapi-docs": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "fastapi-docs-mcp"
      ],
      "type": "stdio"
    }
  }
}

Standalone

uv run python main.py

Development

# Install dev dependencies
uv sync --extra dev

# Run tests
uv run pytest

# Lint
uv run ruff check .

# Format
uv run ruff format .

# Type check
uv run mypy main.py

How It Works

The server fetches documentation directly from the official FastAPI website:

1. Sitemap-based discovery — Uses sitemap.xml to find all available pages
2. Real-time fetching — Retrieves current documentation on each request
3. Smart extraction — Extracts readable content from HTML pages
4. Keyword aliases — Maps common terms (e.g., "auth" → "security")

Content Limits

To keep responses fast and avoid overloading AI context windows, documentation content is truncated to a maximum length (currently 15,000 characters). If a page exceeds that limit, the response ends with a truncation notice and a link to the full page.

License

MIT