Apple RAG MCP

Apple RAG MCP

Provides AI agents with instant access to official Apple developer documentation, Swift programming guides, design guidelines, and Apple Developer YouTube content including WWDC sessions. Uses advanced RAG technology with semantic search and AI reranking to deliver accurate, contextual answers for Apple platform development.

Category
访问服务器

README

<div align="center">

<img src="https://apple-rag.com/logo-with-text.svg" alt="Apple RAG MCP" width="400">

Transform your AI agents into Apple development experts with instant access to official Swift docs, design guidelines, and platform knowledge.

Install MCP Server

🌐 Learn More🚀 Get Started📊 Dashboard

</div>

✨ What is Apple RAG MCP?

Apple RAG MCP delivers exactly what your AI agents need: official Swift development docs, design guidelines, comprehensive Apple platform knowledge, and Apple Developer YouTube content including WWDC sessions, tutorials, and live events - current and complete.

A cutting-edge Retrieval-Augmented Generation (RAG) system combining Apple's official documentation with video content from the Apple Developer YouTube channel. Features professional AI reranking with Qwen3-Reranker-8B for superior search accuracy across multiple content types.

🤖 AI-Powered Embedding & Reranking⚡ Semantic Search for RAG🔍 Keyword Search🎯 Hybrid Search

🚀 Quick Start

Option 1: One-Click Cursor Setup (Recommended)

Install MCP Server

Click the button above and Cursor will automatically configure everything for you in seconds.

Option 2: Manual Setup for Other MCP Clients

JSON Configuration (Copy & Paste):

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

Manual Configuration Parameters:

  • MCP Type: Streamable HTTP
  • URL: https://mcp.apple-rag.com
  • Authentication: Optional (MCP Token for higher limits)
  • MCP Token: Get yours at apple-rag.com for increased quota

Option 3: Self-Hosted Deployment

Want to run your own instance? See our Deployment Guide for complete setup instructions.

Quick Setup:

# Clone and setup
git clone https://github.com/your-org/apple-rag-mcp.git
cd apple-rag-mcp
pnpm install

# Configure environment
cp .dev.vars.example .dev.vars
# Edit .dev.vars with your configuration

# Deploy to Cloudflare Workers
pnpm setup-secrets
pnpm deploy

Supported Clients: Cursor, Claude Desktop, Cline, and all MCP-compatible tools.

Note: No MCP Token required to start! You get free queries without any authentication. Add an MCP Token later for higher usage limits.

🌟 Why Developers Love Apple RAG MCP

<table> <tr> <td width="50%">

Fast & Reliable

Get quick responses with our optimized search infrastructure. No more hunting through docs.

🎯 AI-Powered Hybrid Search

Advanced search technology combining Semantic Search for RAG, Keyword Search, and Hybrid Search with vector similarity and technical term matching provides accurate, contextual answers from Apple's documentation.

🔒 Always Secure

MCP authentication ensures trusted access for your AI agents with enterprise-grade security.

</td> <td width="50%">

📝 Code Examples

Get practical code examples in Swift, Objective-C, and SwiftUI alongside documentation references.

🔄 Real-time Updates

Our documentation index is continuously updated to reflect the latest Apple developer resources.

🆓 Completely Free

Start immediately with no MCP Token required. Get an MCP Token for higher usage limits - all managed at apple-rag.com.

</td> </tr> </table>

🎯 Features

  • 🔍 Semantic Search for RAG - Vector similarity with semantic understanding for intelligent retrieval
  • 🔎 Keyword Search - Precise technical term matching for API names and specific terminology
  • 🎯 Hybrid Search - Combined semantic and keyword search with AI reranking for optimal results
  • 📚 Complete Coverage - iOS, macOS, watchOS, tvOS, visionOS documentation
  • 📺 Video Content - Apple Developer YouTube channel with WWDC sessions and tutorials
  • ⚡ Fast Response - Optimized for speed across all content types
  • 🚀 High Performance - Multi-instance cluster deployment for maximum throughput
  • 🔄 Always Current - Synced with Apple's latest docs and video content
  • 🛡️ Secure & Private - Your queries stay private
  • 🌐 Universal MCP - Works with any MCP-compatible client

🤝 Community & Support

  • 🌐 Dashboard: apple-rag.com
  • 📖 Documentation: Complete setup guides and examples
  • 💬 Support: Get help through our web dashboard
  • ⭐ GitHub: Star this repo if you find it useful!

<div align="center">

Ready to supercharge your AI agents with Apple expertise?

🚀 Get Started Now⭐ Star on GitHub

Made with ❤️ for the Apple developer community

</div>

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选