MCP & A2A: Bridging Tools and Teammates in AI

Google’s Agent2Agent

A2A is an open standard that provides AI agents with a universal “language” so they can communicate and collaborate effortlessly. Supported by a coalition of over 50 technology leaders—including Atlassian, Cohere, and Salesforce—A2A breaks down the walls between isolated agents and enables them to work together as a cohesive team.



What Exactly Is A2A?


At its core, A2A is a communication protocol for AI agents. It defines a common, framework-agnostic format that any agent can use to exchange messages with any other agent, regardless of its origin or underlying architecture.



A2A vs. MCP: Tools vs. Teammates


  • A2A (Agent2Agent Protocol) connects agents to one another. It lets one autonomous agent converse with another as an equal partner.

  • MCP (Model Context Protocol) connects agents to external tools and data sources. It standardizes how agents securely invoke APIs, access databases, or call functions.



In practice, these protocols complement each other: an agent might use MCP to retrieve data, then use A2A to ask another agent to analyze it. MCP is like picking up an app or library; A2A is like having a chat with a colleague. Together, they enable richer, more flexible multi-agent workflows.

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