<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Protocols on AI VOID</title><link>https://ai-blog.noorshomelab.dev/categories/protocols/</link><description>Recent content in Protocols on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/categories/protocols/index.xml" rel="self" type="application/rss+xml"/><item><title>Unpacking the Model Context Protocol (MCP): An Introduction</title><link>https://ai-blog.noorshomelab.dev/mcp-ai-tool-integration-guide/mcp-introduction/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/mcp-ai-tool-integration-guide/mcp-introduction/</guid><description>&lt;h2 id="unpacking-the-model-context-protocol-mcp-an-introduction"&gt;Unpacking the Model Context Protocol (MCP): An Introduction&lt;/h2&gt;
&lt;p&gt;Welcome, aspiring AI architect! Get ready to dive into one of the most exciting areas in modern AI development: empowering your AI agents to interact with the real world. In this learning guide, we&amp;rsquo;re going to demystify the &lt;strong&gt;Model Context Protocol (MCP)&lt;/strong&gt;, an open standard designed to be the universal translator between intelligent agents and the vast ecosystem of external tools and data.&lt;/p&gt;</description></item></channel></rss>