mcp-builder

Build MCP servers integrating REST APIs with Python FastMCP or TypeScript SDKs.

Updated Jun 26, 2026
One-click install
npx skills add https://github.com/wangx7/skills-collection --skill mcp-builder-wangx7
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/wangx7/skills-collection/tree/main/anthropics-skills/skills/mcp-builder
Command: npx skills add https://github.com/wangx7/skills-collection --skill mcp-builder-wangx7

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, mcp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the challenge of building Model Context Protocol (MCP) servers that allow LLMs to interact with external services and APIs. Without proper guidance, developers struggle with tool design, input validation, error handling, and evaluation creation, leading to MCP servers that are difficult for LLMs to use effectively.

Core Features & Use Cases

  • Comprehensive MCP Server Development: Step-by-step guidance for creating MCP servers in Python (FastMCP) or TypeScript, covering project setup, tool registration, input validation with Zod/Pydantic, and error handling.
  • Quality-Focused Design Principles: Best practices for tool naming, response formats, pagination, annotations, and context management to ensure LLMs can discover and use tools effectively.
  • Evaluation Creation: Complete framework for creating evaluation tests with 10 complex, realistic questions to verify that LLMs can successfully use your MCP server to answer real-world tasks.

Quick Start

Use the mcp-builder skill to design and implement a high-quality MCP server for any external API by following the four-phase development workflow.

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 connect LLMs with external REST APIs?

You can build a Model Context Protocol server using Python FastMCP or TypeScript SDKs, registering tools with input validation and error handling to enable LLMs to interact with external REST APIs.

What is Model Context Protocol server development used for?

Model Context Protocol server development is used to create standardized tool interfaces that enable LLMs to discover and use external web services, bridging large language models with third-party platforms.

Can I use FastMCP with Python for tool schema validation and pagination?

Yes, FastMCP supports Python development for defining tool schemas using Pydantic, handling input validation, implementing pagination for API responses, and formatting outputs for LLM consumption.

How do I test and evaluate MCP servers with realistic questions?

You evaluate MCP servers by creating a framework of 10 complex, realistic questions to verify that LLMs can successfully use your registered tools to answer real-world tasks and API interactions.

Does MCP server development support TypeScript SDKs for API integration?

Yes, MCP server development supports TypeScript SDKs alongside Python FastMCP, allowing you to register tools with Zod input validation for integrating external web services and third-party platforms.

What are the best practices for MCP tool design and response formatting?

Best practices for MCP tool design include using clear naming conventions, implementing proper response formatting, adding annotations, and managing context to ensure LLMs can discover and use tools effectively.