Summary
This walks you through building MCP servers that let LLMs interact with external APIs and services, covering both Python (FastMCP) and TypeScript implementations. The guidance focuses on designing tools for actual agent workflows rather than just wrapping API endpoints. Think consolidating related operations into single high-impact tools, optimizing responses for limited context windows, and writing error messages that guide the LLM toward correct usage. It includes a four-phase approach from research (fetching live MCP protocol docs) through implementation, code review, and creating evaluation tests. The eval framework is smart: questions must be independent, read-only, and require multiple tool calls to answer, which forces you to validate that your server actually enables complex workflows.
Install to Claude Code
npx -y skills add composiohq/awesome-claude-plugins --skill mcp-builder --agent claude-codeInstalls into .claude/skills of the current project.
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 →
An agent that runs the SEO playbooks that move rankings and ships PRs you control.
Get founding access →
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →Files
SKILL.md
Select a file.
Featured
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 →An agent that runs the SEO playbooks that move rankings and ships PRs you control.
Get founding access →Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
