Beyond APIs: Building Interoperable AI Systems with MCP and A2A Protocols

As AI agents become integral to modern software systems, the need for standardized communication and integration mechanisms has intensified. The Model Context Protocol (MCP), developed by Anthropic, offers a universal interface for AI models to access external data sources and tools, streamlining context provision and tool integration . Complementing this, Google’s Agent2Agent (A2A) protocol facilitates seamless communication between autonomous AI agents, enabling collaborative task execution across diverse platforms.

This talk delves into the architectures, functionalities, and practical applications of MCP and A2A. Attendees will gain insights into how these protocols can be leveraged to build interoperable, efficient, and scalable AI-driven systems.