fastapi_mcp

fastapi_mcp

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

tadata-orgtadata-org
3990 stars
325 forks
Python

MCP Relevance Analysis

Relevance Score85/100 - High Relevance

Summary

fastapi_mcp is a high relevance project related to Model Context Protocol. It has 3990 stars and 325 forks on GitHub.

Key Features

  • MCP integration capabilities
  • AI context management
  • Language model communication
  • Structured data processing

Use Cases

  • Enhancing LLM context handling
  • Improving model response quality
  • Building more effective AI applications

README

fastapi-to-mcp

FastAPI-MCP#

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

PyPI version
Python Versions
FastAPI
CI
Coverage

fastapi-mcp-usage

Features#

  • Authentication built in, using your existing FastAPI dependencies!

  • FastAPI-native: Not just another OpenAPI -> MCP converter

  • Zero/Minimal configuration required - just point it at your FastAPI app and it works

  • Preserving schemas of your request models and response models

  • Preserve documentation of all your endpoints, just as it is in Swagger

  • Flexible deployment - Mount your MCP server to the same app, or deploy separately

  • ASGI transport - Uses FastAPI's ASGI interface directly for efficient communication

Installation#

We recommend using uv, a fast Python package installer:

bash
uv add fastapi-mcp

Alternatively, you can install with pip:

bash
pip install fastapi-mcp

Basic Usage#

The simplest way to use FastAPI-MCP is to add an MCP server directly to your FastAPI application:

python
from fastapi import FastAPI
from fastapi_mcp import FastApiMCP

app = FastAPI()

mcp = FastApiMCP(app)

# Mount the MCP server directly to your FastAPI app
mcp.mount()

That's it! Your auto-generated MCP server is now available at https://app.base.url/mcp.

Documentation, Examples and Advanced Usage#

FastAPI-MCP provides comprehensive documentation. Additionaly, check out the examples directory for code samples demonstrating these features in action.

FastAPI-first Approach#

FastAPI-MCP is designed as a native extension of FastAPI, not just a converter that generates MCP tools from your API. This approach offers several key advantages:

  • Native dependencies: Secure your MCP endpoints using familiar FastAPI Depends() for authentication and authorization

  • ASGI transport: Communicates directly with your FastAPI app using its ASGI interface, eliminating the need for HTTP calls from the MCP to your API

  • Unified infrastructure: Your FastAPI app doesn't need to run separately from the MCP server (though separate deployment is also supported)

This design philosophy ensures minimum friction when adding MCP capabilities to your existing FastAPI services.

Development and Contributing#

Thank you for considering contributing to FastAPI-MCP! We encourage the community to post Issues and create Pull Requests.

Before you get started, please see our Contribution Guide.

Community#

Join MCParty Slack community to connect with other MCP enthusiasts, ask questions, and share your experiences with FastAPI-MCP.

Requirements#

  • Python 3.10+ (Recommended 3.12)
  • uv

License#

MIT License. Copyright (c) 2024 Tadata Inc.

fastapi_mcp - MCPHubs