We take a deep dive into the A2A (Agent-to-Agent) protocol and how it works in harmony with MCP (Model Context Protocol) and ADK (Agent Development Kit) to enable powerful collaboration between AI agents across organizational and technological boundaries.
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Join us as we build the Agents with MCP and A2A in upcoming videos.
Happy building! ☺️
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Udemy Course (get completion certificate, practice questions, Q&A) https://www.udemy.com/course/modelcontextprotocol/?referralCode=6FADE0F85C5DB97203C6
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Chapters -
00:00 Introduction
01:06 Background - what are LLMs, Agents & MCP
03:23 Why A2A? MCP vs ADK vs A2A
05:32 A2A Lifecycle and Core Components
05:52 A2A Discovery - A2A Client, A2A Server & Agent Card
08:16 A2A Initiation - Tasks, Messages, Parts
10:10 A2A Processing - Artifacts, Streaming, Push Notifications, Non-streaming
11:52 A2A Interaction - input-required state
12:14 A2A Completion
12:31 Summary
In this video, we take a deep dive into the A2A (Agent-to-Agent) protocol and how it works in harmony with MCP (Model Context Protocol) and ADK (Agent Development Kit) to enable powerful collaboration between AI agents across organizational and technological boundaries.
💡 Whether you're a programmer, a data scientist, or a technically curious builder — this video will walk you through:
✅ What is a Large Language Model (LLM)
✅ What is an Agent Framework
✅ How agents collaborate locally and globally
✅ Why we need A2A to connect agents across systems
✅ A complete breakdown of A2A’s components: client, server, agent card, messages, parts, tasks, and artifacts
✅ The lifecycle of an A2A task — initiation, streaming, push notifications, interaction, and completion
🔗 Subscribe now to get free access to our full MCP, A2A, and ADK codebases and tutorials.
📥 Links to the code and agent templates are in the description below.
➕ Stay tuned for upcoming videos where we build agents step-by-step using the Agent Development Kit (ADK).
👇 Let’s connect the world of intelligent agents — one protocol at a time.