The mcp-builder skill provides a comprehensive, four-phase workflow for creating high-quality Model Context Protocol (MCP) servers. It streamlines the process of building tools that allow LLMs to interact with external APIs, databases, and services. From initial research and planning using the MCP specification to implementing robust servers in TypeScript or Python, this skill ensures best practices in tool naming, context management, and error handling. It also includes dedicated modules for testing with the MCP Inspector and creating complex evaluation suites to guarantee your AI tools perform reliably in real-world scenarios.
주요 기능
01Dual-language support with implementation patterns for TypeScript and Python SDKs
02128 GitHub stars
03Detailed guidance on tool design, naming conventions, and schema optimization
04Integrated testing strategies using the MCP Inspector and error-handling best practices
05Comprehensive workflow for planning and implementing MCP servers from scratch
06Structured evaluation framework for verifying tool effectiveness with complex XML-based QA pairs
사용 사례
01Creating custom API connectors that allow Claude to interact with internal business tools
02Standardizing the development of public MCP servers for third-party SaaS integrations
03Building automated evaluation suites to benchmark the performance of existing AI tools