There's a moment coming in your company, if it hasn't arrived already.
A developer wires up an AI agent — Claude, Cursor, whatever your team uses — to a Model Context Protocol server. Suddenly the agent can query your production database, read your private repos, hit internal APIs, trigger deployments. Not suggest doing those things. Do them. Autonomously, in response to natural language, often without a human approving each action.
On a laptop, that's a productivity miracle. In production, it's a question nobody in the room can answer: who is allowed to do what, and how would we ever know what happened?
That question is the one this piece is about. Because the answer, for most companies adopting MCP today, is: we have no idea.
The pattern we've seen before
