agents-course/pr_545/en/unit4/additional-readings.html

<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;And now? What topics I should learn?&quot;,&quot;local&quot;:&quot;and-now-what-topics-i-should-learn&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;🔌 Model Context Protocol (MCP)&quot;,&quot;local&quot;:&quot;-model-context-protocol-mcp&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;🤝 Agent-to-Agent (A2A) Protocol&quot;,&quot;local&quot;:&quot;-agent-to-agent-a2a-protocol&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2}],&quot;depth&quot;:1}">
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		<link rel="modulepreload" href="/docs/agents-course/pr_545/en/_app/immutable/chunks/getInferenceSnippets.031140c2.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;And now? What topics I should learn?&quot;,&quot;local&quot;:&quot;and-now-what-topics-i-should-learn&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;🔌 Model Context Protocol (MCP)&quot;,&quot;local&quot;:&quot;-model-context-protocol-mcp&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;🤝 Agent-to-Agent (A2A) Protocol&quot;,&quot;local&quot;:&quot;-agent-to-agent-a2a-protocol&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2}],&quot;depth&quot;:1}"><!-- HEAD_svelte-u9bgzb_END -->      <p></p>  <h1 class="relative group"><a id="and-now-what-topics-i-should-learn" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#and-now-what-topics-i-should-learn"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>And now? What topics I should learn?</span></h1> <p data-svelte-h="svelte-1xr7k2r">Agentic AI is a rapidly evolving field, and understanding foundational protocols is essential for building intelligent, autonomous systems.</p> <p data-svelte-h="svelte-1r4xo8r">Two important standards you should get familiar with are:</p> <ul data-svelte-h="svelte-18i08f1"><li>The <strong>Model Context Protocol (MCP)</strong></li> <li>The <strong>Agent-to-Agent Protocol (A2A)</strong></li></ul>  <h2 class="relative group"><a id="-model-context-protocol-mcp" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#-model-context-protocol-mcp"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>🔌 Model Context Protocol (MCP)</span></h2> <p data-svelte-h="svelte-1espw1r">The <strong>Model Context Protocol (MCP)</strong> by Anthropic is an open standard that enables AI models to securely and seamlessly <strong>connect with external tools, data sources, and applications</strong>, making agents more capable and autonomous.</p> <p data-svelte-h="svelte-3ycwu1">Think of MCP as a <strong>universal adapter</strong>, like a USB-C port, that allows AI models to plug into various digital environments <strong>without needing custom integration for each one</strong>.</p> <p data-svelte-h="svelte-13o12q9">MCP is quickly gaining traction across the industry, with major companies like OpenAI and Google beginning to adopt it.</p> <p data-svelte-h="svelte-vlz1qk">📚 Learn more:</p> <ul data-svelte-h="svelte-fuhase"><li><a href="https://www.anthropic.com/news/model-context-protocol" rel="nofollow">Anthropic’s official announcement and documentation</a></li> <li><a href="https://en.wikipedia.org/wiki/Model_Context_Protocol" rel="nofollow">MCP on Wikipedia</a></li> <li><a href="https://huggingface.co/blog/Kseniase/mcp" rel="nofollow">Blog on MCP</a></li></ul>  <h2 class="relative group"><a id="-agent-to-agent-a2a-protocol" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#-agent-to-agent-a2a-protocol"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>🤝 Agent-to-Agent (A2A) Protocol</span></h2> <p data-svelte-h="svelte-8cy9rb">Google has developed the <strong>Agent-to-Agent (A2A) protocol</strong> as a complementary counterpart to Anthropic’s Model Context Protocol (MCP).</p> <p data-svelte-h="svelte-3e5uyr">While MCP connects agents to external tools, <strong>A2A connects agents to each other</strong>, paving the way for cooperative, multi-agent systems that can work together to solve complex problems.</p> <p data-svelte-h="svelte-b1hdku">📚 Dive deeper into A2A:</p> <ul data-svelte-h="svelte-1i7kuuv"><li><a href="https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/" rel="nofollow">Google’s A2A announcement</a></li></ul> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/agents-course/blob/main/units/en/unit4/additional-readings.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1">&lt;</span> <span data-svelte-h="svelte-x0xyl0">&gt;</span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a>  <p></p> 
			
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