Apple RAG MCP

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

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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

🚀 Quick Start

Option 1: One-Click Cursor Setup (Recommended)

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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!

Ready to supercharge your AI agents with Apple expertise?

🚀 Get Started Now • ⭐ Star on GitHub

Made with ❤️ for the Apple developer community

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hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Provides AI agents with instant access to official Apple developer documentation, Swift docs, design guidelines, and Apple Developer YouTube content through advanced semantic and hybrid search capabilities. Features AI-powered reranking for accurate retrieval of Apple platform knowledge including iOS, macOS, watchOS, tvOS, and visionOS development resources.