fastmcp

Develop and deploy MCP servers using the FastMCP Python framework.

3|Updated Nov 14, 2025
One-click install
npx skills add https://github.com/evolv3ai/claude-skills-archive --skill fastmcp-evolv3ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastmcp
Source: https://github.com/evolv3ai/claude-skills-archive/tree/main/skills/fastmcp
Command: npx skills add https://github.com/evolv3ai/claude-skills-archive --skill fastmcp-evolv3ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and templates (resource) and agents (resource) and rules (resource) components.

What problem does it solve?

This Skill simplifies the creation and deployment of MCP servers in Python using the FastMCP framework, enabling seamless integration of tools, resources, and prompts for LLMs.

Core Features & Use Cases

  • Server Creation: Build production-ready MCP servers with Python and FastMCP.
  • Feature Rich: Supports storage backends, middleware, OAuth Proxy, OpenAPI integration, and cloud deployment.
  • Error Prevention: Prevents over 25 common errors related to server setup, storage, middleware, and authentication.
  • Use Case: You need to expose a Python API to Claude Code as a tool, or you're troubleshooting issues with FastMCP server configuration, storage backends, or OAuth authentication flows.

Quick Start

Use the fastmcp skill to help me build a new MCP server.

Frequently Asked Questions about fastmcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a Python MCP server for LLMs?

To build a Python MCP server for LLMs, you can use the FastMCP framework to expose tools, resources, and prompts. It facilitates seamless creation and deployment of production-ready servers with features like persistent storage and middleware.

How do I expose a Python API to Claude Code as a tool?

You can expose a Python API to Claude Code as a tool by building a Model Context Protocol server. Using the FastMCP framework simplifies this integration and allows LLMs to directly access your API endpoints.

Why does my FastMCP server configuration fail during OAuth authentication?

FastMCP server configuration failures during OAuth authentication often stem from setup errors. This Skill addresses over 25 common server setup, storage, and authentication flow issues to help troubleshoot and prevent these specific errors.

Can I deploy MCP servers with persistent storage and middleware?

Yes, you can deploy MCP servers with persistent storage and middleware. The FastMCP framework supports storage backends, middleware integration, and OpenAPI integration to ensure your servers are production-ready.

What is the best way to integrate OpenAPI with an MCP server?

The best way to integrate OpenAPI with an MCP server is by using the FastMCP Python framework. It provides built-in OpenAPI integration capabilities, allowing you to automatically expose existing API endpoints as tools for LLMs.

Do I need a specific cloud platform to deploy a FastMCP server?

You do not need a specific cloud platform to deploy a FastMCP server. The framework provides cloud deployment capabilities, enabling you to host your MCP servers on various platforms while maintaining consistent tool exposure.