The announcement of the official MCP Registry marks a significant development for the AI ecosystem, providing a public server discovery standard while urging enterprise CIOs and platform leaders to engage in strategic discussions about its implementation. Although the registry addresses public discovery, unlocking its full value in enterprises necessitates an architectural approach that considers security, governance, and control. The prudent enterprise strategy involves developing a centralized Enterprise Control Plane, a familiar architectural model akin to API Gateways, to ensure centralized governance, private discovery, identity management, and unified observability. This approach transforms MCP from a potential risk to a strategic enabler, allowing secure internal AI ecosystem development and integration with external services, as well as enabling composite AI applications. The MCP Registry serves as a foundational standard, but enterprises must construct their own secure implementations to fully harness its potential, emphasizing the importance of a well-architected control plane to establish a trustworthy environment for MCP deployment.