Google A2A Protocol Explained: Tutorial, Demo, & How It Works with MCP & AI Agents

Описание: Google A2A Protocol Explained: A Complete Tutorial, Demo, and MCP Integration with AI Agents
Google’s new A2A Protocol (Agent-to-Agent Protocol) is transforming how AI agents communicate to each other across frameworks like LangChain, CrewAI, Google ADK, and more. In this video, we break down everything you need to know about the Google A2A Protocol; from setup to real-world demos.

👉 Official Google A2A GitHub Repo:
https://github.com/google/A2A

What You’ll Learn in A2A Tutorial:
• What is Google A2A Protocol? A simple explanation of Agent-to-Agent communication.
• How A2A Works with MCP (Model Context Protocol): Understanding the difference + synergy.
• Agent Cards & Multi-Agent Workflows: Defining capabilities and enabling smart task delegation.
• Google A2A Demo: See real examples, including a hiring pipeline + CrewAI with Gemini API.
• A2A Framework & SDK Overview: How developers can start implementing Google A2A today.
• Google A2A vs MCP: When to use each protocol and why they complement each other.
• Google A2A Python Example: Live implementation walk-through.

Technologies That We Covered in this Video:
• Google A2A Protocol (Agent-to-Agent)
• MCP (Model Context Protocol)
• LangChain & CrewAI
• Google ADK & Gemini API
• Agent Cards & Framework Registry

🌐 Why This Matters
The A2A Protocol is set to redefine automation, interoperability, and AI agent collaboration. With A2A + MCP, developers can build multi-agent workflows that are smarter, faster, and framework-agnostic.

🔥 Trending Context
• Google A2A vs Anthropic MCP
• A2A AI frameworks & SDKs
• The rise of modular AI & agent ecosystems

📌 Subscribe for more tutorials on AI agents, MCP, Cursor AI, and next-gen AI frameworks.
#GoogleA2AProtocol #A2AProtocol #GoogleAI #AIAgents #MCP #Agent2Agent #A2ATutorial #GoogleA2A #LangChain #CrewAI #GoogleGemini #AIFrameworks #AISDK #A2AvsMCP #AIExplained


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