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mcp-builder

Guide MCP server development in TypeScript or Python with testing and evaluation.

5|Updated Feb 26, 2026
Search Tags:#api development#mcp#tool design#llm integration#typescript sdk#server implementation#python fastmcp
One-click install
npx skills add https://github.com/lidge-jun/cli-jaw-skills --skill mcp-builder-lidge-jun
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/lidge-jun/cli-jaw-skills/tree/main/mcp-builder
Command: npx skills add https://github.com/lidge-jun/cli-jaw-skills --skill mcp-builder-lidge-jun

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide to building robust and efficient MCP (Model Context Protocol) servers, enabling Large Language Models (LLMs) to seamlessly interact with external services and APIs.

Core Features & Use Cases

  • End-to-End Guidance: Covers the entire development lifecycle from research and planning to implementation, testing, and evaluation.
  • Language-Specific Best Practices: Offers detailed guidance for both TypeScript (Node.js) and Python (FastMCP) development.
  • Tool Design Principles: Emphasizes creating well-defined, discoverable, and actionable tools for LLMs.
  • Evaluation Framework: Guides users on creating rigorous evaluations to test LLM interaction with their MCP servers.
  • Use Case: A developer needs to create a new MCP server to allow an LLM to manage GitHub repositories. This Skill will guide them through setting up the server, defining tools for listing, creating, and updating repositories, and evaluating the LLM's ability to use these tools effectively.

Quick Start

Follow the steps in the MCP Server Development Guide to begin building your MCP server.

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 integration?▼

To build an MCP server for LLM integration, follow a structured lifecycle covering research, planning, implementation, testing, and evaluation. This process emphasizes creating well-defined, discoverable tools, proper response formats, and appropriate transport mechanisms to connect LLMs with external services.

Can I use Python FastMCP to implement an MCP server?▼

Yes, Python FastMCP is explicitly supported for MCP server implementation alongside TypeScript. The guide provides language-specific best practices for both Python FastMCP and TypeScript to ensure robust LLM interaction and external API integration.

What is the best way to design tools for an LLM to interact with external APIs?▼

The best way to design tools for LLM interaction is to make them well-defined, discoverable, and actionable. You must carefully structure tool definitions, response formats, and transport mechanisms so the LLM can effectively parse and utilize external API outputs.

How do I evaluate if an LLM correctly uses my MCP server tools?▼

To evaluate LLM interaction with your MCP server tools, implement a rigorous evaluation framework. This involves testing whether the LLM can successfully discover and execute actions like listing, creating, or updating resources through your defined tools.

Do I need prior API integration experience to develop an MCP server?▼

Yes, developing an MCP server requires a solid understanding of API integration and LLM interaction principles. You need this foundational knowledge to effectively design tools, configure transport mechanisms, and map external service endpoints for LLM usage.

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