Agents Define Interoperability With A2A And MCP
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This article explains two protocol families—Agent-to-Agent (A2A) and Model Context Protocol (MCP)—that architects use for multi-agent AI systems. It defines A2A for agent discovery, task delegation, and streaming, and MCP for host–client tool and resource access using JSON-RPC. The piece compares security trade-offs, recommends layering A2A over MCP, and provides guidance for building secure, scalable agent architectures.
Key Points
- 1Describe A2A as an open standard for agent discovery, task delegation, streaming, and modality negotiation.
- 2Explain MCP standardizes model-to-tool access with a host-client-server model and JSON-RPC transport.
- 3Advise layering A2A over MCP to separate orchestration from tool integration, improving security and maintainability.
Scoring Rationale
High practical and architectural relevance with actionable guidance, limited by single-source exposition rather than formal standardization or peer review.
Sources
Public references used for this report.
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