What MCP is, in plain English
The Model Context Protocol (MCP) is a standard way to hand an AI assistant a set of tools it can actually call. Without it, an agent that wants to use a service has to read API docs, compose raw HTTP requests, and guess at authentication — workable, but slow and error-prone. With MCP, the service publishes a small server that says, in a machine-readable way: "here are my tools, here's what each one is called, here are the exact inputs it takes." The agent sees typed, named operations — create_form, get_submissions — the way your IDE sees functions with signatures, instead of a wall of prose documentation.
The plumbing is deliberately boring: an MCP server is usually a small local program your AI client launches in the background and talks to over stdin/stdout. You add a few lines of config once, restart the client, and from then on every conversation can use those tools. Think of it as a USB port for AI assistants — one connector standard, and any tool that speaks it plugs into Claude Desktop, Claude Code, Cursor, and a growing list of other clients without custom integration work for each.