Think of Model Context Protocol (MCP) as USB-C for AI agents.

One standard connector. Every tool. Every model.

Before MCP, connecting an AI agent to external tools meant custom integrations for each one. Want your agent to use a database? Custom code. Slack? Custom code. File system? Custom code. For every model, for every tool, for every combination.

MCP standardizes this. Build an MCP server once, and any compatible AI agent — Claude, OpenAI, whatever — can use your tools through a universal protocol.

The practical impact is that building agents goes from weeks of integration work to days. I built an MCP server that connects to a client's internal database. Now any agent framework can query that database through the same interface.

How to get started: build a simple MCP server that wraps one of your existing APIs. Connect it to Claude or another MCP-compatible model. Watch the agent use your tool without any custom integration code.

The engineers who master MCP in 2026 will build agents faster than anyone else. It's still early enough that investing a weekend in learning it puts you ahead of 95% of the field.

A universal tool protocol for AI was inevitable. Now it's here.