MCP vs. A2A (Agent2Agent): Understand in One Second ↓

AI Tools posted 7d ago dongdong
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A2A: Enable Agents to invoke other Agents
MCP: Enable Agents to invoke tools/interfaces

Principles of A2A Protocol

  1. Embrace the core capabilities of intelligent agents: Allow intelligent agents to interact in a natural and unstructured manner.
  2. Built on existing standards: Adopt modern and popular technical standards such as HTTP, SSE, and JSON-RPC.
  3. Secure by default: Built-in authentication and authorization mechanisms ensure secure communication.
  4. Support for long-running tasks: Capable of handling the execution of long-running tasks and synchronizing task status.
  5. Support for multiple modalities: Supports various data formats such as audio and video.

Key features of A2A

  1. Capability Discovery: Agents can promote their capabilities through an “Agent Card” in JSON format, enabling client agents to identify the most suitable agent for executing specific tasks.
  2. Task Management: Defines the lifecycle of tasks and supports the management of both short-term and long-term tasks.
  3. Collaboration: Agents can send messages to each other to exchange context, replies, outcomes, or user instructions.
  4. User Experience Negotiation: Each message includes a “content fragment,” allowing agents to negotiate the required format and explicitly include negotiation for user interface capabilities.

A2A technology architecture

  1. Communication Protocol: A standardized communication protocol is defined to regulate the message exchange rules, syntax structure, and transmission mechanism between intelligent agents.
  2. Agent Identity: Intelligent agents can declare their own identity, functional characteristics, service interfaces, and other information through an Agent Card.
  3. Service Discovery Mechanism: A service discovery mechanism is provided, enabling intelligent agents to query and locate other agents with specific capabilities based on task requirements.
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