
mcp-builder
by mshafei721
Multi-agent AI coding platform powered by Vercel Sandbox and AI Gateway - Phase 3: Skills & MCP Integration Complete
SKILL.md
name: mcp-builder description: Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
MCP Server Development Guide
Overview
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.
High-Level Workflow
Phase 1: Deep Research and Planning
API Coverage vs. Workflow Tools: Balance comprehensive API endpoint coverage with specialized workflow tools. When uncertain, prioritize comprehensive API coverage.
Tool Naming and Discoverability:
Use consistent prefixes (e.g., github_create_issue, github_list_repos) and action-oriented naming.
Context Management: Design tools that return focused, relevant data. Support pagination where applicable.
Actionable Error Messages: Error messages should guide agents toward solutions with specific suggestions.
Phase 2: Implementation
Recommended Stack:
- Language: TypeScript
- Transport: Streamable HTTP for remote servers, stdio for local servers
For each tool:
- Input Schema: Use Zod (TypeScript) or Pydantic (Python)
- Output Schema: Define
outputSchemawhere possible - Tool Description: Concise summary of functionality
- Implementation: Async/await, proper error handling, pagination support
- Annotations:
readOnlyHint,destructiveHint,idempotentHint
Phase 3: Review and Test
- No duplicated code (DRY principle)
- Consistent error handling
- Full type coverage
- Clear tool descriptions
Testing:
# TypeScript
npm run build
npx @modelcontextprotocol/inspector
# Python
python -m py_compile your_server.py
Phase 4: Create Evaluations
Create 10 evaluation questions to test effectiveness:
- Independent, read-only, complex, realistic
- Verifiable with single clear answer
- Stable over time
SDK Documentation
TypeScript SDK: https://github.com/modelcontextprotocol/typescript-sdk Python SDK: https://github.com/modelcontextprotocol/python-sdk MCP Specification: https://modelcontextprotocol.io
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レビュー
レビュー機能は近日公開予定です