Governing MCPs at scale with Unity AI Gateway

As AI agents move from prototypes to production you need a centralized governance layer for tool access and we uniquely have a way to solve this with Unity AI Gateway. Integrating tools, and MCP servers consistently and safely has become one of the biggest bottlenecks to adoption.In this session, we explore how Model Context Protocol (MCP) and tool gateways redefine how agents interact with the world. MCP standardizes how agents discover and use tools dynamically, while Unity AI Gateway acts as the enterprise control plane to govern access, manage credentials, and monitor usage across every tool and model. Together, they replace fragmented APIs with a unified, governed interface — letting agents securely connect to managed, external, and custom MCP servers and select tools at runtime.Through real architectures, you'll see how to design agent systems that are flexible, interoperable, and production-ready across internal data and third-party systems.