文章摘要
The article details the development and deployment of a Model Context Protocol (MCP) server using Vercel, designed to enable AI assistants, specifically Claude Desktop, to access external tools and APIs.
- The server is built with Next.js and deployed to Vercel, with Cloudflare Workers for secure API key proxying.
- It demonstrates how to implement an `/.well-known/ai-plugin.json` endpoint and an OpenAPI specification (`/openapi.yaml`) to describe available tools.
- The guide provides steps for setting up a `proxy_worker.js` to protect API keys and handle requests securely.
- It emphasizes the role of MCP servers in allowing AI models to retrieve real-time data or perform actions beyond their initial training data.