Modern AI applications are evolving beyond single chatbots into networks of specialized agents working together. Agent2Agent (A2A) is a protocol that enables AI agents to communicate and collaborate — for example, in a digital newsroom where a Reporter agent writes stories, a Researcher gathers facts, an Editor reviews quality, and an Archive agent retrieves historical context. A2A coordinates *who talks to whom*.
But each agent also needs access to tools and data. This is where Model Context Protocol (MCP) comes in, providing standardized access to databases, APIs, and other resources. MCP handles *what tools each agent can use*.
This talk demonstrates how A2A and MCP complement each other through a practical newsroom example. Attendees will learn:
Developers will leave with a clear understanding of how to build distributed agent systems that leverage specialization, autonomy, and standardized tool access to accomplish complex workflows that single agents struggle to handle efficiently.
Target Audience: