MCP and A2A Don’t Solve the Biggest Problem with Multi-Agent Systems episode artwork

EPISODE · May 22, 2026 · 8 MIN

MCP and A2A Don’t Solve the Biggest Problem with Multi-Agent Systems

from Machine Learning Tech Brief By HackerNoon · host HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/mcp-and-a2a-dont-solve-the-biggest-problem-with-multi-agent-systems. MCP handles tools. A2A handles coordination. Neither handles how agents find, authenticate, and route to each other across machines. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-agents, #distributed-systems, #mcp-protocol, #a2a-protocol, #multi-agent-systems, #agent-orchestration, #kubernetes-networking, #peer-to-peer-networking, and more. This story was written by: @willam-aster. Learn more about this writer by checking @willam-aster's about page, and for more stories, please visit hackernoon.com. This article argues that while protocols like MCP and A2A standardize tool access and agent coordination, they leave a major gap unresolved: networking between agents in real production environments. Using failures encountered in multi-cloud staging deployments, it explores the operational problems around service discovery, cross-organization authentication, transport latency, and peer-to-peer routing. The piece then examines the tradeoffs between service meshes, message brokers, and emerging session-layer overlays like libp2p and WireGuard-based meshes as teams search for a more reliable infrastructure layer for distributed agent systems.

Episode metadata supplied by the publisher feed · Published May 22, 2026

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