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

MCP Servers11.9k estrellas951 forksPythonMITActualizado 6mo ago
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.

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Last scanned: 6/11/2026
Install in Claude Code / Claude Desktop
Method: pip / Python · fastapi-mcp
Claude Code CLI
claude mcp add fastapi-mcp -- python -m fastapi-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "fastapi-mcp": {
      "command": "python",
      "args": ["-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
Casos de uso

Resumen de MCP Servers

<p align="center"><a href="https://github.com/tadata-org/fastapi_mcp"><img src="https://github.com/user-attachments/assets/7e44e98b-a0ba-4aff-a68a-4ffee3a6189c" alt="fastapi-to-mcp" height=100/></a></p>

<div align="center">
  <span style="font-size: 0.85em; font-weight: normal;">Built by <a href="https://tadata.com">Tadata</a></span>
</div>

<h1 align="center">
  FastAPI-MCP
</h1>

<div align="center">
<a href="https://trendshift.io/repositories/14064" target="_blank"><img src="https://trendshift.io/api/badge/repositories/14064" alt="tadata-org%2Ffastapi_mcp | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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<p align="center">Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!</p>
<div align="center">

[![PyPI version](https://img.shields.io/pypi/v/fastapi-mcp?color=%2334D058&label=pypi%20package)](https://pypi.org/project/fastapi-mcp/)
[![Python Versions](https://img.shields.io/pypi/pyversions/fastapi-mcp.svg)](https://pypi.org/project/fastapi-mcp/)
[![FastAPI](https://img.shields.io/badge/FastAPI-009485.svg?logo=fastapi&logoColor=white)](#)
[![CI](https://github.com/tadata-org/fastapi_mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/tadata-org/fastapi_mcp/actions/workflows/ci.yml)
[![Coverage](https://codecov.io/gh/tadata-org/fastapi_mcp/branch/main/graph/badge.svg)](https://codecov.io/gh/tadata-org/fastapi_mcp)

</div>


<p align="center"><a href="https://github.com/tadata-org/fastapi_mcp"><img src="https://github.com/user-attachments/assets/b205adc6-28c0-4e3c-a68b-9c1a80eb7d0c" alt="fastapi-mcp-usage" height="400"/></a></p>


## 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](https://tadata.com).

## Installation

We recommend using [uv](https://docs.astral.sh/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](https://fastapi-mcp.tadata.com/). Additionaly, check out the [examples directory](examples) 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](https://fastapi-mcp.tadata.com/advanced/deploy#deploying-separately-from-original-fastapi-app) 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](CONTRIBUTING.md).

## Community

Join [MCParty Slack community](https://join.slack.com/t/themcparty/shared_invite/zt-30yxr1zdi-2FG~XjBA0xIgYSYuKe7~Xg) 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.
aiauthenticationauthorizationclaudecursorfastapillmmcpmcp-servermcp-serversmodelcontextprotocolopenapiwindsurf

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 11.9k estrellas en GitHub y se actualizó por última vez 6mo ago.

¿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 de 6mo ago, con 155 issues abiertos.

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