<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fastmcp on EnRedAndo Me - Carlos Prados</title><link>https://carlos.enredando.me/tags/fastmcp/</link><description>Recent content in Fastmcp on EnRedAndo Me - Carlos Prados</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>mail@carlosprados.com (Carlos Prados)</managingEditor><webMaster>mail@carlosprados.com (Carlos Prados)</webMaster><copyright>© 2026 Carlos Prados</copyright><lastBuildDate>Tue, 14 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://carlos.enredando.me/tags/fastmcp/index.xml" rel="self" type="application/rss+xml"/><item><title>Mastering Agentic AI: The Model Context Protocol (MCP) Pattern</title><link>https://carlos.enredando.me/posts/agentic-ai-mcp/</link><pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate><author>mail@carlosprados.com (Carlos Prados)</author><guid>https://carlos.enredando.me/posts/agentic-ai-mcp/</guid><description>&lt;p&gt;In the &lt;a href="https://carlos.enredando.me/posts/agentic-ai-learning-adaptation/" &gt;previous post&lt;/a&gt;, Learning and Adaptation closed the loop on how agents improve over time without retraining. We&amp;rsquo;ve now covered the loops, the memory, the reasoning. There&amp;rsquo;s one piece left in Part 2 of the book, and it&amp;rsquo;s the most &lt;em&gt;external&lt;/em&gt; of all the patterns: how agents talk to the rest of the world.&lt;/p&gt;
&lt;p&gt;That&amp;rsquo;s MCP. And of all the patterns in this series, it&amp;rsquo;s the one that has changed the agentic landscape the fastest.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://carlos.enredando.me/posts/agentic-ai-mcp/featured.jpg"/></item></channel></rss>