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mcp-builder

Guide developers in creating MCP servers with TypeScript and Python.

1|Updated Feb 24, 2026
Search Tags:#typescript#python#api development#mcp#tool design#llm integration#server implementation
One-click install
npx skills add https://github.com/xurenlu/marstaff --skill mcp-builder-xurenlu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/xurenlu/marstaff/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/xurenlu/marstaff --skill mcp-builder-xurenlu

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide for developing high-quality Model Context Protocol (MCP) servers, enabling Large Language Models (LLMs) to interact with external services through well-defined tools.

Core Features & Use Cases

  • MCP Server Development: Learn best practices for creating MCP servers in TypeScript or Python.
  • Tool Design: Understand how to design effective tools with clear descriptions, input/output schemas, and annotations.
  • Evaluation Framework: Create rigorous evaluations to test the effectiveness of your MCP server.
  • Use Case: You need to build an API that allows an AI assistant to manage GitHub repositories. This Skill guides you through creating the MCP server, defining tools for creating issues, listing repositories, and evaluating its performance.

Quick Start

Follow the Node/TypeScript guide to set up a new MCP server project.

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, this Skill guides you through defining clear tool descriptions, input/output schemas, and implementing the server logic using TypeScript or Python best practices.

What is the best way to design tools for an AI assistant to manage external APIs?▼

The best way to design tools for an AI assistant is to provide well-defined descriptions, structured input/output schemas, and clear annotations, ensuring the LLM can interact with external services effectively.

Can I implement a Model Context Protocol server in Python?▼

Yes, you can implement a Model Context Protocol server in Python. This Skill provides comprehensive guidance for creating robust MCP servers using both Python and TypeScript.

How do I evaluate the performance of an MCP server?▼

You evaluate an MCP server by creating rigorous evaluation frameworks to test tool effectiveness. This Skill covers methodologies to assess how well your server handles structured data exchange and AI workflows.

Do I need TypeScript to set up an MCP server project?▼

No, you do not need TypeScript exclusively; Python is also supported. However, the quick start guide specifically recommends following the Node and TypeScript setup to initialize a new MCP server project.

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