<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Protocol on AI VOID</title><link>https://ai-blog.noorshomelab.dev/categories/protocol/</link><description>Recent content in Protocol 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/protocol/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 1: A2UI Fundamentals - The Core Concepts</title><link>https://ai-blog.noorshomelab.dev/a2ui-guide-2025/a2ui-fundamentals/</link><pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/a2ui-guide-2025/a2ui-fundamentals/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome to the exciting world of A2UI – Agent-to-User Interface! In this comprehensive guide, we&amp;rsquo;ll embark on a journey to understand, implement, and master this revolutionary open-source protocol. A2UI is poised to redefine how AI agents interact with users, moving beyond simple text responses to dynamic, interactive, and intelligent user interfaces.&lt;/p&gt;
&lt;p&gt;In this first chapter, we&amp;rsquo;ll lay the groundwork by diving deep into the core concepts of A2UI. You&amp;rsquo;ll discover what A2UI is, why it&amp;rsquo;s a game-changer for AI development, and the fundamental principles that guide its design. We&amp;rsquo;ll explore its declarative nature, understand its key components, and even build our very first, albeit simple, A2UI structure. By the end of this chapter, you&amp;rsquo;ll have a solid conceptual understanding, paving the way for more hands-on development in subsequent chapters.&lt;/p&gt;</description></item><item><title>Registering and Discovering Tools: Making Your MCP Services Visible</title><link>https://ai-blog.noorshomelab.dev/mcp-ai-tool-integration-guide/registering-and-discovering-tools/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/mcp-ai-tool-integration-guide/registering-and-discovering-tools/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome back, intrepid AI architects! In our previous chapter, we explored the fascinating world of Tool Schemas, learning how to precisely define the capabilities of an AI agent&amp;rsquo;s external tools. You crafted clear, unambiguous blueprints for what your tools can do. But what&amp;rsquo;s the use of a beautifully designed tool if no one knows it exists?&lt;/p&gt;
&lt;p&gt;This chapter is all about making your amazing tools visible and accessible to AI agents and other services. We&amp;rsquo;ll dive into the critical processes of &lt;strong&gt;tool registration&lt;/strong&gt; and &lt;strong&gt;tool discovery&lt;/strong&gt; within the Model Context Protocol (MCP) ecosystem. Think of it like publishing your tool&amp;rsquo;s &amp;ldquo;yellow pages&amp;rdquo; entry, allowing agents to find and understand how to interact with your services. By the end of this chapter, you&amp;rsquo;ll be able to register your custom MCP tools and understand how AI agents can discover and utilize them, including how to enrich tool definitions with UI resources for more dynamic interactions.&lt;/p&gt;</description></item></channel></rss>