| # And now? What topics I should learn? | |
| Agentic AI is a rapidly evolving field, and understanding foundational protocols is essential for building intelligent, autonomous systems. | |
| Two important standards you should get familiar with are: | |
| - The **Model Context Protocol (MCP)** | |
| - The **Agent-to-Agent Protocol (A2A)** | |
| ## 🔌 Model Context Protocol (MCP) | |
| 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. | |
| 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**. | |
| MCP is quickly gaining traction across the industry, with major companies like OpenAI and Google beginning to adopt it. | |
| 📚 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) | |
| ## 🤝 Agent-to-Agent (A2A) Protocol | |
| Google has developed the **Agent-to-Agent (A2A) protocol** as a complementary counterpart to Anthropic's Model Context Protocol (MCP). | |
| 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. | |
| 📚 Dive deeper into A2A: | |
| - [Google’s A2A announcement](https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/) | |