<?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 技术博客</title><link>https://blog.xidao.online/tags/anthropic/</link><description>Recent content in Anthropic on XiDao 技术博客</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 XiDao</copyright><lastBuildDate>Fri, 01 May 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://blog.xidao.online/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>AI Agent爆发：2026年MCP生态全景图</title><link>https://blog.xidao.online/posts/2026-mcp-ecosystem-landscape/</link><pubDate>Fri, 01 May 2026 10:00:00 +0800</pubDate><guid>https://blog.xidao.online/posts/2026-mcp-ecosystem-landscape/</guid><description>&lt;h1 class="relative group"&gt;AI Agent爆发：2026年MCP生态全景图
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&lt;blockquote&gt;&lt;p&gt;当AI Agent不再是概念，而是每一个企业工作流中的标配，支撑这一切运转的底层协议——MCP，正在悄然成为AI时代最重要的基础设施之一。&lt;/p&gt;</description></item><item><title>2026年Claude 4.7 API接入完整指南：从零到生产级应用</title><link>https://blog.xidao.online/posts/2026-claude-4-7-api-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/posts/2026-claude-4-7-api-guide/</guid><description>&lt;h2 class="relative group"&gt;引言
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&lt;p&gt;2026年，Anthropic推出了全新的&lt;strong&gt;Claude 4.7&lt;/strong&gt;模型，在推理能力、代码生成、多模态理解和长上下文处理等方面均实现了重大突破。对于开发者而言，如何高效、稳定地接入Claude 4.7 API，并将其应用于生产环境，已成为一项关键技能。&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>Anthropic Claude 4.7：推理能力再进化</title><link>https://blog.xidao.online/posts/2026-claude-4-7-deep-dive/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/posts/2026-claude-4-7-deep-dive/</guid><description>&lt;h2 class="relative group"&gt;引言
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&lt;p&gt;2026年初，Anthropic正式发布了&lt;strong&gt;Claude 4.7&lt;/strong&gt;——这是Claude系列模型的又一次重大跃迁。相较于前代Claude 4.5，Claude 4.7在推理深度、工具调用、代码生成以及多模态理解等方面均实现了质的飞跃。对于AI开发者、研究者和技术决策者而言，理解Claude 4.7的能力边界与最佳实践，已成为把握AI前沿脉搏的关键。&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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&lt;blockquote&gt;&lt;p&gt;2026年，MCP（Model Context Protocol）已经成为AI Agent开发的事实标准。本文将从协议原理、服务端实现、客户端集成到生产部署，全方位带你掌握这一关键技术。&lt;/p&gt;
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