FastAPI-MCP vs mcp-use

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

FastAPI-MCP

Open source · MIT

Turns the endpoints of a FastAPI app into MCP tools that AI assistants can call, with auth.

Full review Website

mcp-use

Open source · MIT

A TypeScript framework for building MCP servers and interactive MCP Apps for AI assistants.

Full review Website

The short answer

Choose FastAPI-MCP if you need…

Python developers who already have a FastAPI app and want AI assistants to use it
Teams that want to reuse existing FastAPI authentication for MCP endpoints
Developers who prefer minimal configuration and do not want to write MCP tools by hand

Choose mcp-use if you need…

TypeScript developers who want to build MCP servers
Developers creating interactive MCP Apps with React views
Teams who want to test MCP tools with a built-in Inspector
Developers exposing tools to ChatGPT or Claude during local development

Side-by-side

	FastAPI-MCP	mcp-use
Type	Library	Library
Price	Free and open source	Free and open source
Licence	MIT	MIT
GitHub stars	12k	10.8k
Setup difficulty	Intermediate	Intermediate
How you get it	Install with a package manager	Install with a package manager
Main language	Python	TypeScript
Last code update	12 months ago	7 days ago

What each one is

FastAPI-MCP

FastAPI-MCP is a Python library that adds a Model Context Protocol (MCP) server to an existing FastAPI application, so AI tools such as Claude or Cursor can call your API endpoints as tools. It reuses your FastAPI routes, request and response schemas, and docs, and it can secure MCP access with your existing FastAPI dependencies.

mcp-use

mcp-use is a TypeScript framework for building MCP (Model Context Protocol) servers, which let AI assistants call tools and read data. It also supports React-based interactive views that can appear inside clients like ChatGPT and Claude. It includes a built-in Inspector for testing tools in the browser or from the terminal.

Best for

FastAPI-MCP

Python developers who already have a FastAPI app and want AI assistants to use it
Teams that want to reuse existing FastAPI authentication for MCP endpoints
Developers who prefer minimal configuration and do not want to write MCP tools by hand

mcp-use

TypeScript developers who want to build MCP servers
Developers creating interactive MCP Apps with React views
Teams who want to test MCP tools with a built-in Inspector
Developers exposing tools to ChatGPT or Claude during local development

Strengths

FastAPI-MCP

Uses existing FastAPI dependencies for authentication and authorization
Preserves request/response schemas and endpoint documentation from the FastAPI app
Minimal setup: point it at a FastAPI app and mount it

mcp-use

Typed schemas with Zod connect tool inputs, outputs, and views
Built-in Inspector and CLI let you test tools without extra setup
Active project with an MIT license and a published npm package

Not ideal for

FastAPI-MCP

Non-Python projects, since the README describes only a Python/FastAPI library
People who need a managed service without running code; the README points to a hosted option at tadata.com but this entry does not evaluate it
Anyone without an existing FastAPI app, since the library is an extension of FastAPI rather than a standalone tool

mcp-use

Non-developers who want a ready-made app without coding, since it requires writing TypeScript and React
Projects that need a language other than TypeScript, since the README only describes the TypeScript framework

Trade-offs

FastAPI-MCP

Only useful if you already run or plan to run a FastAPI application
README is truncated and does not detail every configuration option; the full documentation is on the homepage
Latest release is v0.4.0 and the README does not state a stability guarantee

mcp-use

The README is truncated and covers only part of the API, so some details are unclear
Features tied to ChatGPT and Claude depend on those platforms, which may change
Requires familiarity with TypeScript, React, and the MCP concept

Getting started

FastAPI-MCP

Install with uv

uv add fastapi-mcp

Install with pip

pip install fastapi-mcp

Step-by-step guide: how to use FastAPI-MCP

mcp-use

Create a new project

npx -y create-mcp-use-app@latest

Start development mode

npm run dev

Step-by-step guide: how to use mcp-use

Frequently asked questions

What is the difference between FastAPI-MCP and mcp-use?

FastAPI-MCP: Turns the endpoints of a FastAPI app into MCP tools that AI assistants can call, with auth. mcp-use: A TypeScript framework for building MCP servers and interactive MCP Apps for AI assistants. FastAPI-MCP suits python developers who already have a fastapi app and want ai assistants to use it, while mcp-use suits typescript developers who want to build mcp servers.

Are FastAPI-MCP and mcp-use free?

FastAPI-MCP: Free and open source. mcp-use: Free and open source.

Is FastAPI-MCP or mcp-use more popular?

FastAPI-MCP has more GitHub stars (12k) than mcp-use (10.8k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to FastAPI-MCP and mcp-use?

Other options people compare them with include MCP Python SDK, Page Agent, OpenMythos, SQLModel, peewee.

Keep comparing

FastAPI-MCP alternatives mcp-use alternatives FastAPI-MCP vs MCP Python SDK mcp-use vs MCP Python SDK

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.