Presented by Google Cloud
AI agents are approaching the kind of breakthrough moment that APIs had in the early 2010s. At that time, REST and JSON unlocked system-to-system integration at scale by simplifying what had been a tangle of SOAP, WSDL, and tightly coupled web services. That change didn’t just make developers more productive; it enabled entire business ecosystems built around modular software.
A similar shift is underway in artificial intelligence. As agents become more capable and specialized, enterprises are discovering that coordination is the next big challenge. Two open protocols — Agent-to-Agent (A2A) and Model Context Protocol (MCP) — are emerging to meet that need. They simplify how agents share tasks, exchange information, and access enterprise context, even when they were built using different models or tools.
These protocols are more than technical conveniences. They are foundational to scaling intelligent software across real-world workflows.
Why interoperability between agents and tools matters now
