Summary
This is a comprehensive guide for building Model Context Protocol servers that let LLMs interact with external APIs and services. It walks you through the full process: researching MCP design patterns, choosing between TypeScript and Python implementations, building tools with proper schemas and error handling, and creating evaluations to test if your server actually works. The guide emphasizes practical decisions like favoring comprehensive API coverage over workflow shortcuts, using streamable HTTP for remote servers, and writing actionable error messages. What stands out is the evaluation framework at the end, which pushes you to create 10 realistic test questions to verify your MCP server enables LLMs to solve real problems, not just call functions correctly.
Install to Claude Code
npx -y skills add davila7/claude-code-templates --skill mcp-builder --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
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Integrate web data into your AI product. One API to scrape website & brand data.
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
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Files
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Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
