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    Protocols & Standards

    MCP, A2A, and Beyond

    Understand MCP, A2A, and the protocol ecosystem that enables agent interoperability and tool integration.

    "MCP is the USB-C of AI—it lets any agent plug into any tool through a single standard interface."
    — AI Agent Automations

    The agent protocol landscape has standardized rapidly. MCP (Model Context Protocol) provides universal tool integration—"USB-C for AI"—backed by Anthropic, OpenAI, and Google via the Linux Foundation. A2A (Agent2Agent) enables agent-to-agent communication. Understanding when to use each, how they complement each other, and how to build or use MCP servers is essential for production agent systems.

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    Use Cases

    Common Pitfalls

    1

    MCP is for tool/context integration, A2A is for agent communication

    2

    MCP has become the de facto standard (97M+ monthly SDK downloads)

    3

    Start with existing MCP servers before building your own

    4

    Protocol choice should follow use case requirements

    5

    The Linux Foundation AAIF is standardizing the ecosystem

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    Frequently Asked Questions

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