Build a Custom MCP Server and Connect It to Your Real App — No Weather API

Your AI tool can already write code, summarize docs, and answer questions. But can it talk to YOUR app? MCP — Model Context Protocol is the standard that lets AI tools like Claude, Cowork, and others interact directly with external systems. Not through copy-paste. Not through screenshots. Through actual tool calls that read, create, and update data in your app. I built an MCP server that connects my AI workflow tool (Cowork) to my Content Board app — a web app where I track every YouTube video from idea to published. One prompt, and Cowork reads data from Firestore, processes it, and writes it back. No manual copy-paste. No tab switching. Here's how I built it, step by step. What is MCP? Three Parts, That's It MCP has three components: Client — the AI tool you're using (Claude Desktop, Cowork, VS Code with Copilot) Server — the bridge you build. It exposes "tools" — list items, get details, update records. The Client decides when to call which tool App — your data layer. Firestore, Pos