Wednesday, April 23, 2025

AI Agents Protocols: A2A & MCP

Google’s A2A Protocol is a GAMECHANGER - YouTube by Chris Hay - YouTube


MCP makes Telnet RELEVANT for AI Agents - YouTube  by Chris Hay


Making Sense of LLM Tool Use & MCP - YouTube by Maximilian Schwarzmüller - YouTube


Explore Model Context Protocol (MCP) on AWS! | AWS Show and Tell - Generative AI | S1 E9 - YouTube



Overall, both are designed for specific tasks:
  • A2A facilitates agent-to-agent communication, while
  • MCP enables agent-to-tool interactions.
That's why we need both of them to build powerful agentic systems.

A2A:

- Supports flexible, conversational, and task-centric communication. Agents can exchange messages and negotiate formats based on their capabilities.
- It operates like a "conference room" for agents to collaborate.

MCP:

- Uses structured schemas for rigid, exact inputs and outputs.
- It’s designed for precise interactions between an agnets and external systems, acting like a "tool workshop" that provides clear instructions for accessing resources.