<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>MCP - Tag - vo.rs</title><link>https://vo.rs/tags/mcp/</link><description>MCP - Tag - vo.rs</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Tue, 18 Feb 2025 09:00:00 +0000</lastBuildDate><atom:link href="https://vo.rs/tags/mcp/" rel="self" type="application/rss+xml"/><item><title>MCP Servers: Giving Language Models Hands and Eyes</title><link>https://vo.rs/story/mcp-servers-giving-language-models-hands-and-eyes/</link><description>&lt;p&gt;A language model on its own is a brain in a jar. It can reason, summarise and write you a sonnet about your firewall rules, but it cannot read a file, query a database, or check whether your website is up. It only knows what was in its training data and whatever you paste into the chat. That gap — between knowing things and doing things — is the most interesting problem in applied AI right now, and the Model Context Protocol (MCP) is the most sensible attempt I&amp;rsquo;ve seen at closing it.&lt;/p&gt;</description><pubDate>Tue, 18 Feb 2025 09:00:00 +0000</pubDate></item></channel></rss>