Why MCP is the "USB-C" of AI Tools

If you’ve been building with LangChain or OpenAI Functions, you’re used to defining tools as simple lists: tools = [get_weather, send_email]. It works great for a weekend project, but what happens when your application grows? What if you want your tools to work in Claude Desktop, a custom Python script, and a TypeScript dashboard all at once? What if you need to update a tool's logic without redeploying your entire AI agent? That is where the Model Context Protocol (MCP) comes in.