<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Technology on XiDao Tech Blog</title><link>https://blog.xidao.online/en/tags/technology/</link><description>Recent content in Technology on XiDao Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 XiDao</copyright><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.xidao.online/en/tags/technology/index.xml" rel="self" type="application/rss+xml"/><item><title>Building Production AI Agents with MCP: A 2026 Developer's Complete Guide</title><link>https://blog.xidao.online/en/posts/2026-05-01-mcp-ai-agents-developer-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-05-01-mcp-ai-agents-developer-guide/</guid><description>&lt;h2 class="relative group"&gt;The Rise of AI Agents in 2026
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&lt;p&gt;2026 has marked a turning point for AI agents. What was experimental in 2024-2025 is now production infrastructure at thousands of companies. The catalyst? &lt;strong&gt;Model Context Protocol (MCP)&lt;/strong&gt; — Anthropic&amp;rsquo;s open standard that gives LLMs a universal interface to interact with external tools, data sources, and services.&lt;/p&gt;
&lt;p&gt;If you&amp;rsquo;re a developer building AI-powered workflows in 2026, MCP is no longer optional — it&amp;rsquo;s the backbone of the agentic ecosystem.&lt;/p&gt;</description></item></channel></rss>