mcp-use
★ 10.8k
vs
fastapi_mcp
★ 12.0k
mcp-use vs fastapi_mcp
mcp-use: mcp-use is a full-stack framework for Model Context Protocol (MCP), enabling the creation of MCP servers, clients, and AI agents. It supports development in both Python and TypeScript with minimal code.; fastapi_mcp: FastAPI-MCP allows you to expose your existing FastAPI endpoints as Model Context Protocol (MCP) tools. It offers native integration with FastAPI, including built-in authentication using existing dependencies, and preserves schemas and documentation.
01
TL;DR
mcp-useDev Tooling · ★ 10.8k
Building intelligent AI agents capable of using tools and reasoning across steps
fastapi_mcpDev Tooling · ★ 12.0k
When to choose:
- You already have a FastAPI application and want to expose its endpoints as MCP tools while reusing your existing FastAPI authentication dependencies and Swagger schemas.
- You want to mount the MCP server directly onto your ASGI app or deploy it separately under an MIT license.
When to skip:
- You are building a standalone MCP server from scratch rather than wrapping a FastAPI app; use FastMCP or the official MCP Python SDK.
- You need an actively updated repository (last push was November 2025).
02
Side-by-Side Comparison
03
Features
01AI agents with tool access and multi-step reasoning
02Direct connection to any MCP server
03Build custom MCP servers
04Web-based debugging tool for MCP servers
05Interactive UI widget development for ChatGPT apps
01Authentication built in, using your existing FastAPI dependencies!
02FastAPI-native: Not just another OpenAPI -> MCP converter
03Zero/Minimal configuration required
04Preserving schemas of your request models and response models
05Flexible deployment - Mount your MCP server to the same app, or deploy separately
04
Use Cases
↳Building intelligent AI agents capable of using tools and reasoning across steps
↳Programmatically interacting with MCP servers and calling tools directly
↳Creating custom MCP servers with defined tools, resources, and prompts
↳Integrating FastAPI services as tools for large language models (LLMs) that support MCP.
↳Enabling LLMs to interact with and utilize existing business logic and data exposed via FastAPI.
↳Quickly exposing authenticated FastAPI APIs as discoverable and usable tools within an MCP ecosystem.
05
Best For
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FAQ
FAQ
What is the difference between mcp-use and fastapi_mcp?
Both mcp-use and fastapi_mcp are in the Dev Tooling category. mcp-use has 10.8k stars, while fastapi_mcp has 12.0k stars.
Which is better, mcp-use or fastapi_mcp?
The best choice depends on your use case. Choose mcp-use if Building intelligent AI agents capable of using tools and reasoning across steps, and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is mcp-use free or open source?
Yes, mcp-use is open source on GitHub (MIT).
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
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