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.
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Files
SKILL.md
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Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
