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hidariutiwa
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mcp-builder

Build Model Context Protocol servers for external APIs in Python and TypeScript.

Updated Mar 28, 2026
Search Tags:#typescript#api#python#llm#mcp#server#fastmcp
One-click install
npx skills add https://github.com/hidariutiwa/flask-learning --skill mcp-builder-hidariutiwa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/hidariutiwa/flask-learning/tree/main/.claude/skills/mcp-builder
Command: npx skills add https://github.com/hidariutiwa/flask-learning --skill mcp-builder-hidariutiwa

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 integrating external APIs and services with LLMs by providing a comprehensive guide to building Model Context Protocol (MCP) servers. It eliminates the guesswork in designing tools, handling authentication, and structuring responses so that LLMs can effectively interact with external systems.

Core Features & Use Cases

  • End-to-End MCP Development: Complete four-phase workflow covering research, implementation, testing, and evaluation for building production-ready MCP servers.
  • Multi-Language Support: Detailed implementation guides for both Python (FastMCP) and TypeScript, including project structure, input validation with Pydantic or Zod, and transport configuration.
  • Quality Assurance Tools: Includes an evaluation harness and reference materials for testing whether LLMs can effectively use your MCP server to answer realistic, complex questions.

Quick Start

Use the mcp-builder skill to develop a new MCP server for your target service by following the structured four-phase process, then validate its effectiveness using the provided evaluation scripts.

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-to-API integration?▼

To build an MCP server for LLM-to-API integration, follow a structured four-phase workflow covering research, implementation, testing, and evaluation. This process ensures adherence to MCP protocol specifications, tool design, input validation, pagination, and error handling for production-ready servers.

Can I use FastMCP with Python to create a Model Context Protocol server?▼

Yes, you can use FastMCP with Python to create a Model Context Protocol server. The Skill provides detailed implementation guides for Python, including project structure, Pydantic input validation, and transport configuration for external API interactions.

What's the best way to test if an LLM can effectively use my MCP server?▼

The best way to test if an LLM can effectively use your MCP server is to use a provided evaluation harness and reference materials. These tools test whether the LLM can successfully answer realistic, complex questions using your server.

Does the MCP server development workflow support TypeScript and Zod?▼

Yes, the MCP server development workflow supports TypeScript and Zod. It provides detailed implementation guides for TypeScript, including project structure setup, Zod input validation, and transport configuration for connecting external APIs.

What are the core phases of developing a production-ready MCP server?▼

The core phases of developing a production-ready MCP server are research, implementation, testing, and evaluation. This end-to-end workflow ensures your server adheres to MCP protocol specifications, SDK documentation, and best practices for tool design and error handling.

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