Summary
This walks you through building MCP servers that let LLMs talk to external APIs, with opinionated guidance on tool design and naming. It pushes TypeScript over Python, recommends comprehensive API coverage over workflow shortcuts, and includes a four-phase process from research through evaluation. The interesting bit is the evaluation framework at the end, which has you create 10 complex, read-only test questions with verifiable answers. It's clearly written by someone who's shipped MCP servers and learned what makes them work in practice. If you're building an MCP integration and want structure beyond the official docs, this gives you that playbook.
Install to Claude Code
npx -y skills add dedalus-erp-pas/foundation-skills --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.
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 →
Files
SKILL.md
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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 →
