This skill provides a comprehensive end-to-end framework for developing Model Context Protocol (MCP) servers in TypeScript or Python, enabling LLMs to interact seamlessly with external services. It guides users through deep research, project structure setup, tool naming strategies, and context management to ensure high tool discoverability. Beyond implementation, the skill includes specific workflows for testing with the MCP Inspector and creating rigorous evaluation suites that verify an agent's ability to solve complex, multi-step tasks using the newly created tools.
主な機能
01Step-by-step implementation workflows for TypeScript and Python SDKs
02Best practices for tool naming, schema design, and error handling
03Comprehensive evaluation framework for verifying agent-tool accuracy
0440,657 GitHub stars
05Integrated testing protocols using the official MCP Inspector
06Automated project structure and core infrastructure templates
ユースケース
01Building custom integrations for internal APIs to use with Claude Code
02Developing production-grade MCP servers for public service APIs
03Creating a standardized bridge between legacy databases and AI agents