MCP Explained: Most AI Agent Builders Are Rebuilding What This Protocol Already Solves

You are building an AI agent. You write a custom wrapper for your database. Then a custom connector for your REST API. Then another for kubectl. Then another for your file system. Each one hand-crafted, fragile, and tied to your specific agent. A colleague builds a different agent and starts from scratch on the same integrations. This is the N x M integration problem, and most AI agent builders are solving it the hard way. MCP already solved it. Here is what it does, how it works, and when you should use it.

The Problem MCP Was Built to Solve

Before MCP existed, connecting an AI agent to external tools was a custom engineering problem every time.

Want your agent to read from a database? Write a custom integration. Want it to call a REST API? Write another custom integration. Want it to read files from Google Drive? Yet another...

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