A Study on the MCP x A2A Framework for Enhancing Interoperability of LLM-based Autonomous Agents

Understand

This paper provides an in-depth technical analysis and implementation methodology of the open-source Agent-to-Agent (A2A) protocol developed by Google and the Model Context Protocol (MCP) introduced by Anthropic.

• While the evolution of LLM-based autonomous agents is rapidly accelerating, efficient interactions among these agents and their integration with external systems remain significant challenges.
• In modern AI systems, collaboration between autonomous agents and integration with external tools have become essential elements for building practical AI applications.
• A2A offers a standardized communication method that enables agents developed in heterogeneous environments to collaborate effectively, while MCP provides a structured I/O framework for agents to connect with external tools and resources.