AI agent development is now more prominent in enterprise and cloud -native development. Now, with Google Agent2Agent (A2A) protocol being the de facto protocol, AI agents can discover other AI agents for seamless communication.
But what if developers prefer the advantage of deploying an MCP service and exposing it as an HTTP service, just as they currently deploy their enterprise applications?

In this talk, I showcase an enterprise implementation of the Google A2A server that is fully powered by Jakarta EE features.
Developers can build their own AI Agent and introduce it to other agents by exposing its Agent card and skills, defining what the agent does and the skills it provides to do AI tasks.
With minimal configuration, the AI agent can be deployed to any Jakarta EE server of choice, using the server's existing deployment method.

This talk will be beneficial for existing enterprise Java developers, as it will showcase a minimal barrier to entry for learning such features, provide a manageable learning curve, and have a minimal impact on integration with existing business services, ensuring that developers can build AI Agent applications with ease.