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Fastapi With MCP Server

A FastAPI application integrated with Model Context Protocol (MCP) for mathematical operations and tool registration examples. This project

Local serverstdioPython

What is the Fastapi With MCP MCP server?

If you want an AI assistant working directly with Fastapi With MCP, the fastapi with mcp mcp server is the bridge. A FastAPI application integrated with Model Context Protocol (MCP) for mathematical operations and tool registration examples. This project demonstrates how to build MCP servers using FastAPI and shows different approaches to registering tools.

What Fastapi With MCP does

A FastAPI application integrated with Model Context Protocol (MCP) for mathematical operations and tool registration examples. This project demonstrates how to build MCP servers using FastAPI and shows different approaches to registering tools.

Key capabilities

  • FastAPI web framework integration with MCP
  • Multiple mathematical operations (add, multiply, subtract)
  • Different tool registration patterns (decorators vs functions)
  • Server-Sent Events (SSE) support for real-time communication
  • Example configurations for MCP client integration
  • Pandas integration for data manipulation demonstrations

Installing the fastapi with mcp mcp server

Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.

Requirements

  • Python 3.12+ - FastAPI[standard] - FastMCP - Pandas - Pydantic - MCP

Where it fits

Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Fastapi With MCP sits in that group. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

  • This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
  • Maintained by hannguyendd, written in Python.
  • MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the fastapi with mcp mcp server actually does with your data.
  • Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.

How to install the Fastapi With MCP MCP server

{
  "mcpServers": {
    "math-tools": {
      "type": "http",
      "url": "http://localhost:8000/mcp-server/sse",
      "env": {}
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.12+ - FastAPI[standard] - FastMCP - Pandas - Pydantic - MCP

Frequently asked questions

It connects Fastapi With MCP to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Fastapi With MCP directly.

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