Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
8.8
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AI & LLM
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Excellent comprehensive guide for building MCP servers with clear 4-phase workflow (Research, Implementation, Review, Evaluation). The Description accurately captures the skill's purpose. Structure is exemplary - concise main SKILL.md with logical phase breakdown and references to detailed guides for Python/TypeScript implementation, best practices, and evaluation. Task knowledge is outstanding with specific instructions for API coverage vs workflows, tool naming, error handling, and complete evaluation creation process. References external documentation appropriately (MCP spec, SDK READMEs) and internal guides. Novelty is strong - creating quality MCP servers requires deep understanding of protocol design patterns, multi-tool workflows, and LLM-friendly interface design that would consume significant tokens for a CLI agent to derive independently. Minor deduction on novelty only because the task is somewhat specialized rather than broadly applicable.
anthropics
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