<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model Context Protocol on Bruce on AI Engineering</title><link>http://www.heyuan110.com/tags/model-context-protocol/</link><description>Recent content in Model Context Protocol on Bruce on AI Engineering</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Feb 2026 11:00:00 +0800</lastBuildDate><atom:link href="http://www.heyuan110.com/tags/model-context-protocol/index.xml" rel="self" type="application/rss+xml"/><item><title>MCP Protocol Explained: The Universal Standard for AI Integration</title><link>http://www.heyuan110.com/posts/ai/2026-02-20-mcp-protocol-guide/</link><pubDate>Fri, 20 Feb 2026 11:00:00 +0800</pubDate><guid>http://www.heyuan110.com/posts/ai/2026-02-20-mcp-protocol-guide/</guid><description>&lt;p&gt;When AI models need to query databases, call APIs, or read files, every provider used to have its own proprietary integration approach. Developers were forced to rewrite integration code for each platform. MCP (Model Context Protocol) changed everything — often called the &amp;ldquo;USB-C for AI,&amp;rdquo; it provides a universal open standard for connecting AI applications to external systems.&lt;/p&gt;
&lt;p&gt;Since Anthropic&amp;rsquo;s initial release in November 2024, MCP has evolved from an internal experiment into an industry standard. It has been donated to the Linux Foundation and gained backing from OpenAI, Google, Microsoft, and others. SDK downloads exceed 97 million per month, over 10,000 MCP Servers are publicly available, and virtually every major AI platform now supports the protocol.&lt;/p&gt;</description></item></channel></rss>