Apple RAG MCP

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✨ 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 • 📊 Precision Results

🚀 Quick Start

Option 1: One-Click Cursor Setup (Recommended)

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

⚡ 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.

📝 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.

🎯 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!

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