# Google's Agent to Agent Protocol Report

## Key Points

-   Google's Agent2Agent (A2A) protocol standardizes communication between AI agents, promoting collaboration across diverse systems.
-   A2A facilitates message exchange for sharing context, instructions, and artifacts between agents.
-   The protocol complements Anthropic's Model Context Protocol (MCP) by providing a networking layer for agents.
-   A2A allows agents to negotiate content formats, supporting diverse media types such as iframes and video.
-   Google intends A2A to be an open, community-driven project to foster innovation and adoption.
-   Industry experts anticipate A2A will accelerate AI adoption by simplifying integrations and data exchange.

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## Overview

Google's Agent2Agent (A2A) protocol is designed to establish a standardized method for AI agents to communicate, irrespective of their origin, framework, or location. This initiative seeks to foster seamless collaboration and collective intelligence among AI agents, thereby enhancing the effectiveness of agentic solutions. A2A operates as a networking layer that complements other protocols such as Anthropic's Model Context Protocol (MCP), contributing to a more unified AI agent ecosystem.

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## Detailed Analysis

### Purpose and Design

A2A addresses the challenge of integrating disparate AI systems by providing a common language for AI agents. It enables these agents to share context, replies, artifacts, and user instructions, facilitating collaborative problem-solving. The design of A2A supports flexible user experiences by allowing agents to negotiate content formats like iframes, videos, and web forms.

### Technical Aspects

The protocol utilizes "parts" within messages, which are fully formed pieces of content with specified content types, enabling negotiation of the correct format needed between agents. A2A builds upon existing standards including HTTP, SSE, and JSON-RPC.

### Community and Industry Impact

Google's vision for A2A is to create an open, community-driven project that encourages contributions and updates from the open-source community. Industry experts from companies like Deloitte, Accenture, EPAM, and New Relic believe A2A will accelerate AI adoption by simplifying integrations, facilitating data exchange, and fostering a more unified AI agent ecosystem. LangChain has also expressed interest in collaborating with Google Cloud on this shared protocol.

### Relationship with MCP

A2A complements Anthropic's Model Context Protocol (MCP). While A2A provides a networking layer for agents to communicate, MCP functions as a plugin system, granting agents access to tools, context, and data.

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## Key Citations

-   [Announcing the Agent2Agent Protocol (A2A)](https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/)

-   [Build and manage multi-system agents with Vertex AI - Google Cloud](https://cloud.google.com/blog/products/ai-machine-learning/build-and-manage-multi-system-agents-with-vertex-ai)

-   [Google just Launched Agent2Agent, an Open Protocol for AI agents ...](https://www.maginative.com/article/google-just-launched-agent2agent-an-open-protocol-for-ai-agents-to-work-directly-with-each-other/)

-   [Protocols for Agentic AI: Google's New A2A Joins Viral MCP](https://virtualizationreview.com/articles/2025/04/09/protocols-for-agentic-ai-googles-new-a2a-joins-viral-mcp.aspx)

-   [Google's Agent2Agent interoperability protocol aims to standardize ...](https://venturebeat.com/ai/googles-agent2agent-interoperability-protocol-aims-to-standardize-agentic-communication/)

-   [Meet Google A2A: The Protocol That will Revolutionize Multi-Agent ...](https://medium.com/@the_manoj_desai/meet-google-a2a-the-protocol-that-will-revolutionize-multi-agent-ai-systems-80d55a4583ed)

-   [Google's Agent2Agent Protocol Helps AI Agents Talk to Each Other](https://thenewstack.io/googles-agent2agent-protocol-helps-ai-agents-talk-to-each-other/)