This article details the emerging protocols for agentic AI, including MCP, UTCP, A2A, and others, explaining their purposes and how they fit into the future of AI communication and collaboration.
The article discusses the Agent2Agent (A2A) Protocol, an attempt to provide a common language for different AI agents to collaborate without revealing their internal workings. It also compares A2A with the Model Context Protocol (MCP), highlighting their complementary roles in building complex AI systems.
