fastapi_mcp

作者 tadata-org已验证

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

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Python
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2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/tadata-org/fastapi_mcp

快速入门

使用 fastapi_mcp 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

fastapi-to-mcp

Built by Tadata

FastAPI-MCP

tadata-org%2Ffastapi_mcp | Trendshift

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

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.

常见问题

What is fastapi_mcp?

fastapi_mcp is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by tadata-org. Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!. It has 11,982 GitHub stars.

Is fastapi_mcp safe to use?

Yes. fastapi_mcp passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install fastapi_mcp?

Clone the repository with "git clone https://github.com/tadata-org/fastapi_mcp" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is fastapi_mcp written in?

fastapi_mcp is primarily written in Python. It is open-source under tadata-org on GitHub, so you can review or fork the full source.

Are there alternatives to fastapi_mcp?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh fastapi_mcp against similar tools.

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