A2A Protocol - Agent2Agent (A2A) Protocol Resources
Welcome to the A2A Protocol resources website. Here you'll find everything you need to know about the Agent2Agent(A2A) Protocol, including documentation, tutorials, and a list of supported AI agents.
Resources
Explore various resources for the A2A Protocol to help you get started and integrate.
Official Website
Visit the official A2A Protocol website for the latest updates and announcements.
Learn More →What is A2A Protocol?
Learn about the Agent2Agent (A2A) Protocol and how it enables communication between AI agents.
The Agent2Agent (A2A) Protocol is an open standard initiated by Google designed to enable communication and interoperability between disparate AI agent systems.
The core goal is to allow agents built on different frameworks or by different vendors to discover each other's capabilities, negotiate interaction modes, and collaborate on tasks.
Key Features
Agent Discovery
Agents can discover each other's capabilities through Agent Cards.
Task Management
Standardized task lifecycle with clear states and transitions.
Multiple Content Types
Support for text, files, and structured data exchange between agents.
Real-time Updates
Streaming updates for long-running tasks and real-time collaboration.
A2A vs MCP: Understanding the Difference
Learn how the Agent2Agent Protocol (A2A) and Model Context Protocol (MCP) complement each other in the AI ecosystem.
A2A and MCP serve different but complementary purposes in the AI agent ecosystem:
A2A Protocol Focus
A2A enables communication between different AI agents, allowing them to collaborate, share information, and coordinate actions regardless of their underlying frameworks or vendors.
Key Features:
- Agent Discovery
- Task Management
- Multiple Content Types
- Real-time Updates
MCP Protocol Focus
MCP (Model Context Protocol) provides tools and context to individual agents, enhancing their capabilities by giving them access to external tools, data sources, and APIs.
Key Features:
- Tool Calling
- Context Augmentation
- API Integration
- Data Retrieval
Complementary Nature
A2A and MCP work in parallel: MCP enhances individual agent capabilities, while A2A enables those agents to work together effectively. They are not competing standards but complementary technologies that address different aspects of agent functionality.
Agent-to-Agent Communication
Agent-to-Tool Communication