MCP vs A2A: Stop Overbuilding AI Agent Systems

Stop wasting 6 weeks on AI agent swarms a single agent could solve.

MCP and A2A are not the same thing. They answer different questions, so using the wrong one adds complexity, cost, and bugs.

Same task, different approach.
MCP, one smart agent, many tools, shared brain.
A2A, one orchestrator, many specialist agents, each with their own tools and context.

Use MCP when one capable model plus tools can handle the job. Simpler, cheaper, easier to debug.
Use A2A only when subtasks truly need isolation, separate expertise, or parallel execution.

Do not earn complexity before the simple path fails.

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Видео MCP vs A2A: Stop Overbuilding AI Agent Systems канала Shiva Tech Bytes