Summary
This is a comprehensive guide for building MCP servers that let LLMs interact with external APIs and services. It walks you through a four phase process starting with deep research into agent centric design principles (like building for workflows instead of just wrapping endpoints), studying the MCP protocol docs, then implementing tools systematically in either Python with FastMCP or TypeScript with the MCP SDK. The standout bit is the emphasis on designing for limited context windows and writing error messages that actually help agents figure out what to do next. It includes specific best practices for input validation with Pydantic or Zod, response formatting, and pagination handling.
Install to Claude Code
npx -y skills add mrgoonie/claudekit-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 →
