How does this skill improve AI agent performance?

It emphasizes agent-centric design, teaching you how to create tools that are optimized for context limits, provide actionable feedback, and group operations into logical workflows.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables AI models to interact with external data sources and tools through a unified interface, allowing agents to perform real-world tasks.

Does it support automated testing?

Yes, it includes instructions for code quality reviews, safe testing methods for long-running processes, and an evaluation harness for verification.

What is the purpose of the Evaluation phase?

Evaluations test whether LLMs can effectively use your MCP server to answer realistic, complex questions by simulating multi-step tool usage.

Can I build servers in both Python and JavaScript?

Yes, this skill provides specialized implementation guides for both the Python (FastMCP) and Node/TypeScript SDKs.

MCP Builder

Name: MCP Builder
Author: davepoon

bydavepoon

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2,257

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API 开发

Builds high-quality Model Context Protocol (MCP) servers to connect AI agents with external APIs and services.

The MCP Builder skill provides a comprehensive framework and guided workflow for developing Model Context Protocol (MCP) servers in Python or TypeScript. It helps developers move beyond simple API wrappers by emphasizing agent-centric design principles, efficient context management, and robust evaluation-driven development. This skill ensures that your custom tools are optimized for LLM interaction, featuring actionable error handling, smart pagination, and standardized implementation patterns that improve agent performance and reliability.

主要功能

01Comprehensive evaluation strategies to verify tool effectiveness

02Templates for documentation and tool-specific annotations

032,257 GitHub stars

04Standardized implementation patterns for input validation and error handling

05Agent-centric design principles for optimal context window management

06Step-by-step guidance for Python (FastMCP) and Node/TypeScript SDKs

使用场景

01Building custom MCP servers to integrate internal company APIs with Claude Code

02Creating specialized data retrieval tools for AI agents using external SaaS services

03Optimizing existing tool integrations for better LLM reasoning and fewer context errors

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add davepoon/buildwithclaude mcp-builder

For use in Claude.ai and ChatGPT

Download Skill