Bridging the AI Agent Gap: Interoperability with A2A and MCP Protocols

About

The rapid growth of AI agents presents a significant challenge to building truly collaborative and scalable AI systems. This talk will introduce two complementary open protocols: Google's Agent-to-Agent (A2A) Protocol and Anthropic's Model Context Protocol (MCP). We'll explore how MCP enables individual AI models to seamlessly access and utilize external tools and data, while A2A facilitates robust communication and coordination among diverse AI agents. Through practical use cases and a concise demonstration, attendees will learn how the synergy of A2A and MCP addresses key interoperability challenges, fosters modularity, and paves the way for building sophisticated, multi-agent ecosystems in enterprise and beyond.

Key Takeaways:

  • Discover how Google’s A2A and Anthropic’s MCP protocols enable seamless communication and tool usage across AI agents.
  • Understand how MCP gives models structured access to external tools and context for grounded, dynamic responses.
  • Learn how A2A fosters interoperability and coordination among agents built by different vendors and frameworks.
  • Explore real-world applications showing how these protocols unlock scalable, modular, multi-agent AI systems.

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