From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems
Qiaomu Li, Ying Xie

TL;DR
This paper critically analyzes the integration of Google's A2A protocol and Anthropic's MCP for scalable multi-agent systems, highlighting challenges, security risks, and the need for semantic interoperability to realize their combined potential.
Contribution
It provides a detailed evaluation of the practical challenges and trade-offs in integrating A2A and MCP standards for multi-agent systems, moving beyond a simple survey.
Findings
Integration introduces new security vulnerabilities.
Semantic interoperability is a key challenge.
Effective governance is required for the agent economy.
Abstract
Artificial intelligence is rapidly evolving towards multi-agent systems where numerous AI agents collaborate and interact with external tools. Two key open standards, Google's Agent to Agent (A2A) protocol for inter-agent communication and Anthropic's Model Context Protocol (MCP) for standardized tool access, promise to overcome the limitations of fragmented, custom integration approaches. While their potential synergy is significant, this paper argues that effectively integrating A2A and MCP presents unique, emergent challenges at their intersection, particularly concerning semantic interoperability between agent tasks and tool capabilities, the compounded security risks arising from combined discovery and execution, and the practical governance required for the envisioned "Agent Economy". This work provides a critical analysis, moving beyond a survey to evaluate the practical…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Mobile Agent-Based Network Management · Advanced Software Engineering Methodologies
