mcp-builder

Create MCP servers in Python or TypeScript with structured guidelines and evaluation.

18|6|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/alter123-zz/RaccoonClaw --skill mcp-builder-alter123-zz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/alter123-zz/RaccoonClaw/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/alter123-zz/RaccoonClaw --skill mcp-builder-alter123-zz

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a complete, step‑by‑step guide for building high‑quality MCP (Model Context Protocol) servers, eliminating guesswork and fragmented documentation for developers integrating external APIs with LLMs.

Core Features & Use Cases

  • Four‑phase workflow covering research, implementation, testing, and evaluation.
  • Connection utilities for stdio, SSE, and HTTP transports.
  • Reference guides for Python FastMCP and TypeScript SDK best practices.
  • Evaluation harness to benchmark tool designs against realistic scenarios.
  • Ideal for teams creating LLM‑driven agents that need reliable, well‑designed external services.

Quick Start

Use the mcp-builder skill to generate a new Python MCP server for the GitHub API.

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 for LLM tool integration?

You can build an MCP server using Python with FastMCP or Node/TypeScript with the MCP SDK. This skill provides a four-phase workflow covering research, implementation, testing, and evaluation, along with structured guidelines and connection utilities for reliable external service integration.

Can I use FastMCP and the TypeScript SDK to create MCP servers?

Yes, you can build MCP servers in Python using FastMCP or in Node/TypeScript using the MCP SDK. The skill includes reference guides covering best practices for both approaches, ensuring robust tool design for API integration.

What is the best way to evaluate MCP server tool design?

The best way to evaluate MCP server tool design is using a dedicated evaluation harness to benchmark your tools against realistic scenarios. This testing phase ensures robust compliance and reliable performance before deploying LLM-driven agents.

Does this MCP server workflow support SSE and HTTP transports?

Yes, the skill provides connection utilities for stdio, SSE, and HTTP transports. This ensures your MCP servers can establish robust communication channels between LLMs and external services across different network protocols.

Do I need the Anthropic dependency to build an MCP server?

Yes, the Anthropic and MCP dependencies are required to build and run these servers. They provide the foundational SDK and framework support needed to implement the structured guidelines, connection utilities, and evaluation harness.