What problem does it solve?
This Skill provides a comprehensive guide for building high-quality MCP (Model Context Protocol) servers, solving the challenge of effectively integrating LLMs with external services. It ensures that the tools exposed to LLMs are well-designed, reliable, and enable complex real-world tasks.
Core Features & Use Cases
- Agent-Centric Design Principles: Guides the creation of tools optimized for LLM interaction, focusing on workflows, limited context, and actionable error messages.
- Comprehensive Implementation Plan: Covers tool selection, input/output design, error handling strategies, and language-specific best practices for Python (FastMCP) and Node/TypeScript (MCP SDK).
- Evaluation Creation: Provides guidelines for developing robust evaluations to test an MCP server's effectiveness in answering complex, realistic questions.
- Use Case: When you need to expose an external API or service to an LLM, use this Skill to guide you through building a robust MCP server that enables the LLM to interact with that service effectively and reliably, from initial planning to comprehensive evaluation.
Quick Start
To start building an MCP server, ask:
"I want to build an MCP server in Python to integrate with my company's internal CRM API. Guide me through the initial planning and setup."
