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fastapi_mcp

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

  • 12k estrellas
  • 969 forks
  • 174 issues abiertos
  • Lenguaje: Python
  • Licencia: MIT
  • actualizado

Instalación

local · pip / python
Claude Code CLI
claude mcp add fastapi-mcp -- python -m fastapi-mcp
  1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
  2. Replace any <placeholder> values with your API keys or paths.
  3. Restart Claude. The MCP server and its tools appear automatically.

Install first: pip install fastapi-mcp

Nota editorial

FastAPI-MCP is a Python library that automatically converts existing FastAPI endpoints into Model Context Protocol tools, making them available to MCP-compatible clients such as Claude Desktop, Cursor, and Windsurf. Developers install it via pip or uv, instantiate a `FastApiMCP` object pointing at their FastAPI app, call `mcp.mount()`, and the MCP server becomes accessible at `/mcp` on the same base URL with no further configuration required. Rather than simply parsing an OpenAPI schema, the library integrates natively with FastAPI, using its ASGI interface to communicate directly without additional HTTP round-trips and preserving existing `Depends()`-based authentication and authorization logic without rewriting it. Request and response model schemas, along with Swagger documentation, carry over automatically to the generated tools. The server can be mounted alongside the existing app or deployed separately. Python 3.10 or higher is required, with 3.12 recommended. The library suits backend developers who want to expose their existing API logic to LLM-driven workflows without maintaining a parallel service or duplicating security code.

README

Resumen de MCP Servers

README completo en GitHub

Built by Tadata

FastAPI-MCP

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

PyPI version Python Versions FastAPI CI Coverage

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:

uv add fastapi-mcp

Alternatively, you can install with pip:

pip install fastapi-mcp

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

License

MIT License. Copyright (c) 2025 Tadata Inc.

Topics
aiauthenticationauthorizationclaudecursorfastapillmmcpmcp-servermcp-serversmodelcontextprotocolopenapiwindsurf
Preguntas frecuentes

Lo que la gente pregunta sobre fastapi_mcp

¿Qué es tadata-org/fastapi_mcp?

tadata-org/fastapi_mcp es mcp servers para el ecosistema de Claude AI. Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! Tiene 12k estrellas en GitHub y su última actualización registrada es del 2025-11-24.

¿Cómo se instala fastapi_mcp?

Puedes instalar fastapi_mcp clonando el repositorio (https://github.com/tadata-org/fastapi_mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar tadata-org/fastapi_mcp?

Nuestro agente de seguridad ha analizado tadata-org/fastapi_mcp y le ha asignado un Trust Score de 90/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene tadata-org/fastapi_mcp?

tadata-org/fastapi_mcp es mantenido por tadata-org. La última actividad registrada en GitHub es del 2025-11-24, con 174 issues abiertos.

¿Hay alternativas a fastapi_mcp?

Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

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