| # And now? What topics I should learn? |
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| Agentic AI is a rapidly evolving field, and understanding foundational protocols is essential for building intelligent, autonomous systems. |
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| Two important standards you should get familiar with are: |
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| - The **Model Context Protocol (MCP)** |
| - The **Agent-to-Agent Protocol (A2A)** |
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| ## 🔌 Model Context Protocol (MCP) |
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| The **Model Context Protocol (MCP)** by Anthropic is an open standard that enables AI models to securely and seamlessly **connect with external tools, data sources, and applications**, making agents more capable and autonomous. |
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| Think of MCP as a **universal adapter**, like a USB-C port, that allows AI models to plug into various digital environments **without needing custom integration for each one**. |
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| MCP is quickly gaining traction across the industry, with major companies like OpenAI and Google beginning to adopt it. |
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| 📚 Learn more: |
| - [Anthropic's official announcement and documentation](https://www.anthropic.com/news/model-context-protocol) |
| - [MCP on Wikipedia](https://en.wikipedia.org/wiki/Model_Context_Protocol) |
| - [Blog on MCP](https://huggingface.co/blog/Kseniase/mcp) |
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| ## 🤝 Agent-to-Agent (A2A) Protocol |
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| Google has developed the **Agent-to-Agent (A2A) protocol** as a complementary counterpart to Anthropic's Model Context Protocol (MCP). |
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| While MCP connects agents to external tools, **A2A connects agents to each other**, paving the way for cooperative, multi-agent systems that can work together to solve complex problems. |
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| 📚 Dive deeper into A2A: |
| - [Google’s A2A announcement](https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/) |
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