Does this skill support both Python and TypeScript?

Yes, it provides comprehensive, language-specific implementation guides and best practices for both the Python FastMCP and the Node/TypeScript MCP SDK.

What is an MCP server?

An MCP (Model Context Protocol) server is a standard that allows LLMs like Claude to securely and reliably interact with external data sources and tools through a unified protocol.

How does this help improve agent performance?

It emphasizes agent-centric design, ensuring tools are built for high-impact workflows and provide actionable, context-rich information rather than just raw data dumps.

Can I use this for production-grade tool development?

Absolutely. The skill includes detailed phases for rigorous code review, evaluation harnesses, and robust error handling to ensure reliability in production environments.

Building MCP Servers

Name: Building MCP Servers
Author: WarrenZhu050413

byWarrenZhu050413

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API開発

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

概要

This skill provides a comprehensive framework and expert guidance for developing robust MCP servers using Python or TypeScript. It streamlines the entire development lifecycle—from agent-centric design and API research to the implementation of tools with strict validation and the creation of rigorous evaluation harnesses. By following these industry best practices, developers can ensure their LLM tools are reliable, context-aware, and optimized for complex real-world workflows rather than simple API wrapping.

主な機能

Automated evaluation harness and QA pair generation
Agent-centric workflow design principles
Deep integration with MCP Protocol best practices
Standardized error handling and pagination patterns
5 GitHub stars
Language-specific implementation guides for Python and TypeScript

ユースケース

Refactoring existing API wrappers into workflow-optimized tools for better agent performance
Building a custom MCP server to connect private company APIs to Claude
Implementing rigorous testing and evaluation suites for production-grade MCP tools

概要

主な機能

Automated evaluation harness and QA pair generation
Agent-centric workflow design principles
Deep integration with MCP Protocol best practices
Standardized error handling and pagination patterns
5 GitHub stars
Language-specific implementation guides for Python and TypeScript

ユースケース

Refactoring existing API wrappers into workflow-optimized tools for better agent performance
Building a custom MCP server to connect private company APIs to Claude
Implementing rigorous testing and evaluation suites for production-grade MCP tools