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@iflow-mcp/apple-rag-mcp

v4.6.2

Published

Modern MCP 2025-06-18 compliant server with OAuth 2.1 Authorization for Apple Developer Documentation with Semantic Search for RAG, Keyword Search, and Hybrid Search - Production ready with vector similarity and semantic AI reranking

Readme

为 AI 智能体打造的 Apple 文档 MCP

覆盖 37 万+ 文档、1,300+ 条 WWDC 视频字幕。支持语义 / 关键词 / 混合搜索,一站式把答案递到你的智能体手中。

Install MCP Server

Install in VS Code Install in VS Code Insiders

🌐 官网📊 控制台

English | 中文


不只是查文档

多数工具只能做关键词匹配。Apple RAG MCP 在关键词搜索之外加入语义理解,并用 AI 混合搜索把两者结合,把真正有用的上下文精准送到你的智能体。

精简高效。 响应克制、不啰嗦,尽量少占用 token,不打乱智能体的上下文,只保留最有价值的信号。


方式一:秒速开始

免费对话体验:

一键安装:

Install MCP Server

Install in VS Code Install in VS Code Insiders

点击上面的按钮,在 IDE 中自动填充 MCP 配置,几秒钟即可使用。

方式二:为其他 MCP 客户端手动配置

JSON 配置(直接粘贴):

{
  "mcpServers": {
    "apple-rag-mcp": {
      "url": "https://mcp.apple-rag.com"
    }
  }
}

手动配置参数:

  • MCP 类型: Streamable HTTP
  • URL: https://mcp.apple-rag.com
  • 认证: 可选(添加 MCP Token 可提升配额)
  • MCP Token:apple-rag.com 获取

支持的客户端: 通义灵码、Cursor、Claude Desktop、Cline,以及任何兼容 MCP 的工具。

提示: 开箱即可免费使用,无需 Token。需要更高额度时,再添加 MCP Token。

🌟 开发者为什么选 Apple RAG MCP

响应迅捷

优化的搜索基础设施,结果反馈更快,省去翻找文档的时间。

🎯 AI 混合搜索

语义 + 关键词 + 向量重排序,精准锁定 Apple 文档里的上下文答案。

🔒 安全可信

MCP 认证链路,确保你的智能体获得安全、可控的访问。

📝 示例随取随用

提供 Swift、Objective-C、SwiftUI 的实用代码示例和文档。

🔄 持续更新

文档索引与 Apple 开发者资源持续同步,保持最新。

🆓 免费上手

无需 Token 即可使用;可在 apple-rag.com 获取更多配额。

🎯 核心能力

  • 🔍 RAG 语义搜索 - 基于语义理解的向量相似度检索
  • 🔎 关键词搜索 - 精准匹配 API 名称和技术术语
  • 🎯 混合搜索 - 语义 + 关键词 + AI 重排序,挑出最佳结果
  • 📚 全面覆盖 - 覆盖 iOS、macOS、watchOS、tvOS、visionOS 文档
  • 🎬 WWDC 视频 - 收录 Apple 开发者视频与 WWDC session 字幕
  • ⚡ 快速响应 - 针对所有内容类型优化查询速度
  • 🚀 高性能 - 多实例集群带来高吞吐
  • 🔄 始终最新 - 持续同步最新文档与视频
  • 🛡️ 安全私密 - 查询保持私密与安全
  • 🌐 通用 MCP - 兼容所有支持 MCP 的客户端

更优质的文档,更清晰的上下文,更踏实的代码。

立即开始 →