Summary
This walks you through building MCP servers that let LLMs talk to external APIs, whether you're using Python's FastMCP or the Node/TypeScript SDK. The real value is in the workflow design principles: it pushes you to build tools around complete tasks rather than just wrapping API endpoints, optimize for token limits with concise responses, and write error messages that guide the agent toward solutions. It includes comprehensive checklists for studying API docs, planning tool selection, and implementing pagination and formatting helpers. The guides cover both ecosystems with specifics on Pydantic vs Zod schemas, proper async patterns, and MCP-specific annotations like readOnlyHint and destructiveHint. Treats building for agents as a distinct discipline from standard API integration.
Install to Claude Code
npx -y skills add neolabhq/context-engineering-kit --skill build-mcp --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Integrate web data into your AI product. One API to scrape website & brand data.
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one prompt install →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 →First SeenJun 3, 2026
