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Google A2A vs Anthropic MCP: 3 CRITICAL Differences Explained From Scratch!

Zachary Huang 8,123 lượt xem 1 week ago
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*A2A Protocol Simply Explained: Here are 3 key differences to MCP!:* https://zacharyhuang.substack.com/p/a2a-protocol-simply-explained-here
*MCP Simply Explained: Function Calling Rebranded or Genuine Breakthrough?:* https://zacharyhuang.substack.com/p/mcp-simply-explained-function-calling

*PocketFlow MCP Example:* https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-mcp
*PocketFlow A2A Example:* https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-a2a

*(AI-generated) MCP Codebase Tutorial:* https://the-pocket.github.io/Tutorial-Codebase-Knowledge/MCP%20Python%20SDK/
*(AI-generated) A2A Codebase Tutorial:* https://the-pocket.github.io/Tutorial-Codebase-Knowledge/Google%20A2A/

*Outline:*
0:00 Introduction
1:47 1. Tool Use Foundations
5:41 2. MCP: Function Calling With Superpowers
10:38 3. A2A: Building AI Dream Teams
15:38 4. Three Key Differences
21:45 5. Conclusion

*Social media:*
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LinkedIn: https://www.linkedin.com/in/zachary-h-23aa37172/
Github: https://github.com/zachary62
Discord: https://discord.com/invite/hUHHE9Sa6T
Medium: https://medium.com/@zh2408
Substack: https://zacharyhuang.substack.com/

*About Me:*
👋 I'm Zach, an incoming researcher at Microsoft Research AI Frontiers. I currently work on LLM Agents & Systems. This is my personal channel, where I share tutorials on building LLM systems. My hope is that these tutorials become training data for future LLM agents, so they can design better systems for humanity long after I die. Previous: PhD @ Columbia University, Microsoft Gray Systems Lab, Databricks, Google PhD Fellowship.

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