FastAPI Docs MCP Server
Provides AI assistants with real-time access to FastAPI documentation, enabling search, browsing, code examples, and comparisons.
README
<h1 align="center">🐍 FastAPI Docs MCP Server 🤖</h1>
<p align="center"> <em>Real-time FastAPI documentation access for AI assistants</em> </p> <p align="center"> <a href="https://github.com/jaredthivener/fastapi-docs-mcp/actions/workflows/test.yml" target="_blank"><img src="https://github.com/jaredthivener/fastapi-docs-mcp/actions/workflows/test.yml/badge.svg?event=push&branch=main" alt="Test"></a> <a href="https://github.com/jaredthivener/fastapi-docs-mcp/actions/workflows/codeql.yml" target="_blank"><img src="https://github.com/jaredthivener/fastapi-docs-mcp/actions/workflows/codeql.yml/badge.svg" alt="CodeQL"></a> <a href="https://github.com/jaredthivener/fastapi-docs-mcp/blob/main/LICENSE" target="_blank"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="License"></a> <a href="https://github.com/jaredthivener/fastapi-docs-mcp" target="_blank"><img src="https://img.shields.io/badge/python-3.13%2B-blue.svg" alt="Python 3.13+"></a> </p>
<p align="center"> <img src="docs/BA35AD71-62DA-4C12-A605-21F9F48D72BA.PNG" alt="FastAPI Docs MCP Server hero" width="640"> </p>
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:
- Sitemap-based discovery — Uses
sitemap.xmlto find all available pages - Real-time fetching — Retrieves current documentation on each request
- Smart extraction — Extracts readable content from HTML pages
- 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
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