智能体 / NAVIN RESEARCH
A2A vs MCP: Different Layers for Agent Systems
Understand when Agent2Agent and Model Context Protocol complement each other instead of competing.
Understand when Agent2Agent and Model Context Protocol complement each other instead of competing.
简要回答: Use MCP to expose tools, resources, and prompts to an AI application. Use A2A when independently operated agents need to advertise capabilities, exchange task state, and collaborate. A system may use A2A between agents while each agent uses MCP for its local tools.
实施步骤
- Draw the trust boundaries and ownership of every agent and tool server.
- Use the protocol that matches the boundary instead of wrapping everything in one abstraction.
- Translate only the minimum task state between A2A and local execution.
- Apply authentication and authorization independently at both layers.
验证清单
- Trace one task from remote delegation through local tool calls.
- Test capability discovery with unsupported versions.
- Verify that cancellation and errors propagate across both layers.
常见错误
- Calling MCP an agent-to-agent messaging protocol.
- Exposing internal tools directly to remote peers.
- Assuming protocol compatibility creates shared authorization.
实际决策
先交付能够通过上述检查的最小设计。记录测试中使用的模型、提示词、工具、数据集与运行时版本，让后续变化可以被比较而不是被猜测。依赖供应商的限制、模型名称、价格或预览功能之前，请重新检查链接文档；这些细节变化往往快于本文的工程原则。
