<?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 Fernando Ruiz</title><link>https://www.fernandoux.com/tags/protocols/</link><description>Recent content in Protocols on Fernando Ruiz</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.fernandoux.com/tags/protocols/index.xml" rel="self" type="application/rss+xml"/><item><title>MCP (Model Context Protocol) Explained for Designers</title><link>https://www.fernandoux.com/en/wiki/ai/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.fernandoux.com/en/wiki/ai/mcp/</guid><description>&lt;div class="info-panel"&gt;
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 &lt;span class="info-panel-label"&gt;Quick Definition&lt;/span&gt;
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 &lt;strong&gt;MCP&lt;/strong&gt;, Model Context Protocol, is an open-source standard that defines how an AI application connects to external systems (files, databases, tools, workflows) using a common format. Its official documentation suggests thinking of it as a USB-C port for AI applications: one connector for many devices.
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&lt;h2 id="what-problem-does-it-solve-and-who-is-who"&gt;What problem does it solve, and who is who?&lt;/h2&gt;
&lt;p&gt;Without a standard, every AI application needs its own integration with every service. Five applications and ten services mean fifty connections to maintain. With MCP, each service publishes a server once and each compatible application connects with the same protocol. The documentation sums it up as build once, integrate everywhere. Claude, ChatGPT, Visual Studio Code and Cursor are listed among the compatible clients.&lt;/p&gt;</description></item></channel></rss>