mcp-server

Build MCP servers with the official Python SDK and FastAPI integration.

Updated Jan 2, 2026
One-click install
npx skills add https://github.com/Tahasaif3/Hackathon-Todo-AI-Evolution --skill mcp-server-tahasaif3
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-server
Source: https://github.com/Tahasaif3/Hackathon-Todo-AI-Evolution/tree/main/.claude/skills/mcp-server
Command: npx skills add https://github.com/Tahasaif3/Hackathon-Todo-AI-Evolution --skill mcp-server-tahasaif3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables developers to rapidly build and integrate MCP (Model Context Protocol) servers using the official Python SDK, exposing tools, resources, prompts, and transport options in a cohesive framework.

Core Features & Use Cases

  • Provides a complete MCP server template with tools, resources, and prompts that can be mounted into FastAPI/Starlette apps.
  • Supports multiple transports (stdio, SSE, streamable-http) and FastAPI integration for cloud-ready deployments.
  • Use cases include building AI-assisted task servers, agent-enabled backends, and reusable MCP patterns for CRUD-style operations.

Quick Start

Install the MCP SDK, define your tools and resources, and run the server with the streamable-http transport to expose an API endpoint for clients.

Frequently Asked Questions about mcp-server

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

FAQPage Schema
How do I build an MCP server with FastAPI and Python?

To build an MCP server with FastAPI, use the official Python SDK to define tools, resources, and prompts, then mount the server directly into your FastAPI or Starlette application for production-ready deployments.

What do I need to set up an MCP server environment?

Setting up an MCP server requires only the official MCP Python library and a standard Python environment. No additional complex dependencies are needed to start defining tools and resources.

Can I mount an MCP server into an existing Starlette application?

Yes, you can mount the MCP server template directly into existing FastAPI or Starlette apps. This integration supports cloud-ready deployments and allows you to expose reusable MCP patterns alongside your current web routes.

What is the best way to expose MCP tools over HTTP?

The best way to expose MCP tools over HTTP is by using the streamable-http transport. This method provides a production-ready API endpoint for clients, facilitating seamless AI-assisted task execution and backend integration.