MCP and A2A: The Two Protocols Shaping Multi-Agent AI Architecture

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Two protocols are emerging as a standard two-layer framework for building multi-agent AI systems. Model Context Protocol (MCP), developed by Anthropic, standardises how a single agent connects to tools, APIs, and data sources, while Google's Agent-to-Agent (A2A) protocol governs how multiple agents discover and communicate with one another. In a recommended production setup, A2A sits at the top layer handling agent coordination and routing, while each individual agent maintains its own MCP stack for tool integration. Developers are cautioned against conflating the two protocols, as using MCP for inter-agent routing or building custom discovery logic that A2A already covers leads to poor architecture. A key consideration is that neither protocol is yet governed by a neutral standards body, meaning specifications could change as Anthropic and Google continue to drive their respective initiatives.

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