mcp-builder

Build MCP servers with Python FastMCP and TypeScript SDK examples.

1|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/ChenYCL/claude-skills-collection --skill mcp-builder-chenycl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/ChenYCL/claude-skills-collection/tree/main/mcp-builder
Command: npx skills add https://github.com/ChenYCL/claude-skills-collection --skill mcp-builder-chenycl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides guidance and examples for building MCP (Model Context Protocol) servers, enabling seamless integration between AI models like Claude and external services or APIs.

Core Features & Use Cases

  • Tool Creation: Design and implement custom tools that Claude can invoke.
  • API Integration: Connect Claude to external data sources and functionalities.
  • Use Case: You need Claude to fetch real-time stock prices from a financial API. This Skill guides you in building an MCP server that exposes a get_stock_price tool for Claude to use.

Quick Start

Use the mcp-builder skill to generate a basic Python MCP server using FastMCP.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I build an MCP server to integrate Claude with external APIs?

The mcp-builder skill guides you in building MCP servers using Python (FastMCP) or TypeScript SDKs, covering project structure, configuration, and patterns like pagination to expose custom tools for AI models such as Claude.

What is the Model Context Protocol used for in AI development?

The Model Context Protocol (MCP) standardizes how AI models interact with external services, allowing developers to build servers that expose custom tools for AI to fetch real-time data and perform actions reliably.

Can I use Python to create custom tools for Claude to invoke?

Yes, you can use Python with the FastMCP framework to design and implement custom tools. This allows Claude to fetch real-time data from external APIs, such as retrieving stock prices from a financial service.

Does MCP support common API patterns like pagination for service integration?

Yes, the skill covers common patterns like pagination and resource access, ensuring that your MCP server can handle standard API integration challenges when connecting AI models to external services.

What is the best way to expose external data sources to an AI model?

Building an MCP server is the recommended approach, providing a structured protocol for tool creation that allows AI models to securely fetch real-time data and interact with external services through defined interfaces.