What problem does it solve?
This Skill provides comprehensive guidance and best practices for developing high-quality MCP (Model Context Protocol) servers, enabling LLMs to reliably interact with external APIs and services. It streamlines the process of creating effective, agent-centric tools.
Core Features & Use Cases
- Agent-Centric Tool Design: Guides on building tools optimized for AI agents, focusing on workflows, context efficiency, and actionable error messages.
- Language-Specific Best Practices: Offers detailed implementation guides for both Python (FastMCP) and Node/TypeScript (MCP SDK), covering project structure, validation, and error handling.
- Evaluation Framework: Provides a structured process and scripts for creating and running evaluations to test the effectiveness of MCP servers.
- Use Case: When you need to expose a complex external API (like a CRM, project management tool, or financial service) to an AI agent, this skill ensures your integration is robust, secure, and highly usable by the LLM.
Quick Start
I need to build an MCP server to integrate with the 'GitHub API'. Guide me through the deep research and planning phase, focusing on agent-centric design principles.