In the rapidly evolving field of artificial intelligence, understanding how AI agents communicate is crucial for developers. This guide compares three key frameworks: MCP, A2A, and ACP.
At its core, a large language model (LLM) serves as a sophisticated text predictor. However, its transformation into an effective agent relies on its ability to interact beyond its immediate context.
By examining the differences between MCP, A2A, and ACP, developers can better grasp the implications of each framework on AI communication strategies and applications.