The race to build production AI agents isn't won at the model layer, it's won in the infrastructure around it. Docker's MCP Toolkit packages AI tool servers as isolated containers, bringing the same reproducibility and security guarantees that Docker gave microservices to the fast-growing world of agentic AI. A practitioner shares three adoption patterns that separate shipping teams from perpetual prototypers, and lays out where the story is still incomplete.