MCP and A2A Don’t Solve the Biggest Problem with Multi-Agent Systems
Last quarter, I spent three weeks debugging a multi-agent pipeline that worked fine in testing and fell apart the moment we moved it to staging across two cloud regions. The orchestration logic was correct, the MCP tool definitions were clean, and the models were reasoning well. What wasn't working was something much more mundane: the agents couldn't reliably find each other, authentication between them broke on every redeploy, and inter-agent latency was running 4 to 8 times what we measured locally because one specialist kept timing out waiting for a peer that had restarted with a new internal IP. It took me an embarrassingly long time to accept that the application layer wasn't the problem.
What MCP and A2A Solve (and What They Don't)
MCP and A2A represent real progress in the agent protocol stack.
MCP standardizes how an agent interacts with tools: it defines schemas for capability advertisement, handles...
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