In this episode of Agents of Intelligence, we dive deep into two groundbreaking protocols shaping the future of multi-agent Large Language Model (LLM) orchestration: the Agent2Agent (A2A) Protocol and the Model Context Protocol (MCP). A2A acts as the social glue between autonomous AI agents, allowing them to communicate, delegate tasks, and negotiate how best to serve the user—almost like microservices that can think. On the other side, MCP is the information highway, standardizing how these agents access and interact with external data and tools—making sure they’re never working in isolation.

We’ll unpack the core design philosophies, key features, real-world use cases, and the powerful synergy between A2A and MCP when combined. Whether it’s onboarding a new employee or compiling a complex research report, these protocols are making it possible for intelligent agents to collaborate and operate with unprecedented depth and flexibility.

Tune in to learn how the future of AI is being built—not just with smarter models, but with smarter ways for those models to talk, think, and act together.