<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Anthropic on XiDao Tech Blog</title><link>https://blog.xidao.online/en/tags/anthropic/</link><description>Recent content in Anthropic on XiDao Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 XiDao</copyright><lastBuildDate>Fri, 01 May 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://blog.xidao.online/en/tags/anthropic/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agent Explosion: 2026 MCP Ecosystem Landscape</title><link>https://blog.xidao.online/en/posts/2026-mcp-ecosystem-landscape/</link><pubDate>Fri, 01 May 2026 10:00:00 +0800</pubDate><guid>https://blog.xidao.online/en/posts/2026-mcp-ecosystem-landscape/</guid><description>&lt;h1 class="relative group"&gt;AI Agent Explosion: 2026 MCP Ecosystem Landscape
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&lt;blockquote&gt;&lt;p&gt;When AI Agents are no longer a concept but a standard fixture in every enterprise workflow, the underlying protocol powering it all — MCP — is quietly becoming one of the most important pieces of infrastructure in the AI era.&lt;/p&gt;
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&lt;h2 class="relative group"&gt;Introduction: From Tool Calling to the Protocol Era
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&lt;p&gt;In late 2024, Anthropic released what seemed like an unassuming technical specification — the &lt;strong&gt;Model Context Protocol (MCP)&lt;/strong&gt;. At the time, most people dismissed it as yet another &amp;ldquo;tool calling&amp;rdquo; standard. Yet just 18 months later, MCP has evolved into a thriving ecosystem connecting tens of thousands of services, tools, and applications, establishing itself as the de facto standard in the AI Agent space.&lt;/p&gt;</description></item><item><title>Anthropic Claude 4.7: Reasoning Capability Evolution</title><link>https://blog.xidao.online/en/posts/2026-claude-4-7-deep-dive/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-claude-4-7-deep-dive/</guid><description>&lt;h2 class="relative group"&gt;Introduction
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&lt;p&gt;In early 2026, Anthropic officially released &lt;strong&gt;Claude 4.7&lt;/strong&gt; — a major leap forward in the Claude model family. Compared to its predecessor Claude 4.5, Claude 4.7 achieves qualitative breakthroughs in reasoning depth, tool use, code generation, and multimodal understanding. For AI developers, researchers, and technical decision-makers, understanding Claude 4.7&amp;rsquo;s capabilities and best practices is essential for staying at the cutting edge.&lt;/p&gt;
&lt;p&gt;This article provides a comprehensive deep dive into Claude 4.7, covering its technical architecture, benchmark performance, real-world applications, pricing strategy, and migration guidance.&lt;/p&gt;</description></item><item><title>Complete Guide to Claude 4.7 API Integration in 2026: From Zero to Production</title><link>https://blog.xidao.online/en/posts/2026-claude-4-7-api-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-claude-4-7-api-guide/</guid><description>&lt;h2 class="relative group"&gt;Introduction
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&lt;p&gt;In 2026, Anthropic released &lt;strong&gt;Claude 4.7&lt;/strong&gt; — a landmark model that pushes the boundaries of reasoning, code generation, multimodal understanding, and long-context processing. For developers, knowing how to efficiently and reliably integrate the Claude 4.7 API into production systems is now an essential skill.&lt;/p&gt;
&lt;p&gt;This guide walks you through everything: from your first API call to production-grade deployment, covering the latest API changes, pricing structure, and battle-tested best practices.&lt;/p&gt;</description></item><item><title>MCP Protocol in Practice: The Ultimate Guide to Building AI Agents in 2026</title><link>https://blog.xidao.online/en/posts/2026-mcp-protocol-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-mcp-protocol-guide/</guid><description>&lt;h1 class="relative group"&gt;MCP Protocol in Practice: The Ultimate Guide to Building AI Agents in 2026
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&lt;blockquote&gt;&lt;p&gt;In 2026, the Model Context Protocol (MCP) has become the de facto standard for AI Agent development. This guide takes you from protocol fundamentals to production deployment — covering server implementation, client integration, XiDao gateway routing, and real-world practices with Claude 4.7, GPT-5.5, and beyond.&lt;/p&gt;
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