The MCP Revolution

MCP -- Model Context Protocol -- is the most important infrastructure development in AI since the transformer architecture, and most people have never heard of it. To understand why it matters, you need to understand the problem it solves.

AI agents are powerful but isolated. A coding agent can write excellent code, but it cannot check your GitHub repository, read your Figma designs, query your database, or send a message in Slack. To interact with the real world, agents need integrations. And before MCP, every integration was custom: a separate API wrapper, a separate authentication flow, a separate data format.

MCP standardizes how AI agents connect to external tools and services. It is a universal protocol -- the HTTP of agent-tool interaction. An agent that speaks MCP can connect to any MCP-compatible service without custom integration code. GitHub, databases, file systems, browsers, design tools, communication platforms -- all become accessible through a single, consistent interface.

The practical impact is enormous. Before MCP, building a sophisticated agent workflow required weeks of integration work. With MCP, it takes hours. Our agents can now read a Figma design, write the corresponding code, commit it to GitHub, deploy it to Vercel, and test it in a browser -- all through MCP connections. Each step uses the same protocol. Each connection is reliable and consistent.

But the deeper impact is about composability. When every tool speaks the same protocol, agents can be composed dynamically. Need an agent that reads your email, checks your calendar, and schedules your meetings? Connect three MCP servers. Need one that monitors your production logs, identifies errors, and creates fix pull requests? Connect three different MCP servers. The building blocks are interchangeable. The combinations are infinite.

MCP is still early. The ecosystem is growing rapidly, but it has not reached the maturity of something like REST APIs. But the trajectory is clear. In five years, MCP will be as fundamental to AI development as HTTP is to web development. And the companies building on it now will have a significant head start.