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

A2A vs MCP: which one to choose for AI Agents? Post | LinkedIn

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.

Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work and Life, Bornet, Pascal, Wirtz, Jochen, Davenport, Thomas H., De Cremer, David, Evergreen, Brian, Fersht, Phil, Gohel, Rakesh, Khiyara, Shail, Mullakara, Nandan, Sund, Pooja, eBook - Amazon.com