Agents & Tooling

Introducing the Model Context Protocol (MCP)

One universal way to plug AI into the outside world

A language model on its own is a brain in a box: brilliant at talking, but it can't see your files, query your database, or press any buttons in the real world. To fix that, people used to hand-build a custom connector for every pairing of AI-app-and-tool — a combinatorial mess that never scaled. The Model Context Protocol (MCP), open-sourced by Anthropic in November 2024, replaces all those one-off bridges with a single open standard. The official analogy: MCP is “a USB-C port for AI applications.” Just as USB-C is one socket that any device can plug into, MCP is one standard so any compliant AI app can plug into any compliant tool or data source — build it once, and it works everywhere. Under the hood it's refreshingly simple: small programs called MCP servers expose three things — Tools (actions the AI can do), Resources (data it can read), and Prompts (templates the user can pick) — and AI apps (the hosts) talk to them by trading little JSON-RPC messages. This paper walks a total beginner all the way from “why does this exist?” to writing a working MCP server in Python or TypeScript, watching a real tool call travel end-to-end, and poking a live JSON-RPC console — then hands you an “MCP Certified” badge.