GitHub - tadata-org/fastapi_mcp: Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! (original) (raw)

FastAPI-MCP

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

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

Hosted Solution

If you prefer a managed hosted solution check out tadata.com.

Installation

We recommend using uv, a fast Python package installer:

Alternatively, you can install with pip:

Basic Usage

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

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