AI agents rarely fail because the demo was bad. They fail when the same workflow must run for many users, across many tools, behind real load balancers, with logs, retries, auth, and cost limits. That is where a small MCP server that worked on one laptop can turn into a production bottleneck.

The important shift: MCP is moving from “one client...