MCP + A2A: You're Building Two Integration Layers Whether You Realise It or Not

Short summary

MCP and A2A are complementary but distinct integration layers for agentic systems—MCP standardizes reliable AI-to-resource access, A2A handles agent-to-agent discovery and invocation. Unlike MCP, current A2A protocols lack unified standards, risking the same fragmentation and lock-in that plagued Enterprise Service Buses in the 2000s. Architectural best practices: abstract integration layers, maintain version compatibility across agents, and design frameworks to be swappable.

• •MCP (Model Context Protocol) provides standardized resource access for AI models; A2A protocols handle agent-to-agent communication and discovery
• •Current A2A fragmentation mirrors past ESB failures: potential for single points of failure, performance bottlenecks, and proprietary lock-in
• •Architecture best practices: isolate integration layers, version agent contracts, abstract away implementation details, and plan for framework migration

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