AI agents need tools to act, and enterprises have spent years on tailoring APIs to gain access to enterprise data. The challenge isn’t simply exposing them through MCP. It’s deciding which capabilities agents should see, how they should be composed, and how access is governed when agents start acting on enterprise data.

In this session, we’ll follow a simple use case from API to agent. We’ll transform existing REST APIs into reusable MCP Tools, compose them into a purpose-built MCP Server, and make those tools available to an AI agent. Then we’ll add the controls needed for the real world: agent identity, MCP server access registration, delegated human access, and runtime authorization over the data behind each tool.

You’ll see how API management, MCP, identity, and authorization come together to create a governed Agent Tool Layer, turning the APIs you already have into secure, composable capabilities built for agents.