Does this skill support Python development?

Yes, it includes specific implementation guides for the Python MCP SDK and the FastMCP framework, including Pydantic validation patterns.

How does mcp-builder help optimize tool performance?

It focuses on agent-centric design, teaching developers to build for workflows rather than just wrapping API endpoints, which saves context and reduces errors.

Can I use this for TypeScript and Node.js projects?

Absolutely. It provides a detailed TypeScript implementation guide covering the MCP SDK, Zod schema validation, and proper project structuring.

How do I test my MCP server safely?

The guide recommends using evaluation harnesses or running servers in tmux sessions to prevent long-running stdio processes from hanging your main development process.

What is an MCP server?

An MCP (Model Context Protocol) server is a bridge that allows Large Language Models to interact with external APIs, databases, and services through standardized tools.

MCP Server Builder

Name: MCP Server Builder
Author: EricGrill

byEricGrill

•

API開発

Guides developers through the end-to-end creation of high-quality Model Context Protocol (MCP) servers for AI agent integration.

概要

The mcp-builder skill provides a comprehensive framework for developing MCP servers in Python and TypeScript, ensuring that AI agents can interact effectively with external services. It emphasizes agent-centric design principles, such as workflow-based tool creation and context optimization, while providing structured implementation phases from research and planning to evaluation-driven refinement. Whether building for the Python FastMCP or the Node/TypeScript SDK, this skill helps developers create robust, high-signal tools that improve agent performance and reliability.

主な機能

2 GitHub stars
Guidance for creating comprehensive evaluation harnesses and QA pairs
Structured 4-phase development workflow from research to evaluation
Best practices for input validation using Pydantic and Zod
Multi-language support for Python (FastMCP) and Node/TypeScript SDKs
Agent-centric tool design principles for optimized AI interactions

ユースケース

Refactoring existing API endpoints into workflow-optimized tools for AI agents
Building a custom API bridge to allow Claude to interact with internal business tools
Standardizing the development of MCP servers across a software engineering team

概要

主な機能

2 GitHub stars
Guidance for creating comprehensive evaluation harnesses and QA pairs
Structured 4-phase development workflow from research to evaluation
Best practices for input validation using Pydantic and Zod
Multi-language support for Python (FastMCP) and Node/TypeScript SDKs
Agent-centric tool design principles for optimized AI interactions

ユースケース

Refactoring existing API endpoints into workflow-optimized tools for AI agents
Building a custom API bridge to allow Claude to interact with internal business tools
Standardizing the development of MCP servers across a software engineering team