5 agent architecture scenarios: assess MCP vs. A2A
Blog post from Redis
In evaluating whether to utilize the Model Context Protocol (MCP) or the Agent2Agent Protocol (A2A) in enterprise agent architecture, the key consideration is identifying the boundary being crossed rather than following trends. MCP, developed by Anthropic and donated to the Linux Foundation, connects large language models (LLMs) to necessary tools and data using a client-host-server framework, facilitating interactions with internal databases and systems. Meanwhile, A2A, developed by Google and also under the Linux Foundation, enables communication between agents from different frameworks or vendors, utilizing Agent Cards for identity and task management. Scenarios vary: a single customer support agent typically benefits from MCP, deterministic processes like invoice pipelines often require neither protocol, and multi-agent research systems might need both MCP and A2A depending on the scope of permissions. In cross-organization collaborations, both protocols are necessary for internal and inter-agent communication. Security models differ, with MCP lacking mandatory authorization, while A2A emphasizes cryptographic verification. Neither protocol manages agent state or memory, areas where tools like Redis Iris provide real-time context and memory management, crucial for maintaining agent functionality across tasks.
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