Provides access to official Apple development documentation, design guidelines, and comprehensive platform knowledge through AI-powered search capabilities
Offers access to iOS development documentation, APIs, and technical resources for building iPhone and iPad applications
Provides macOS development documentation and resources for building Mac applications and system integrations
Enables retrieval of Swift programming language documentation, code examples, and development resources from Apple's official documentation
Integrates Apple Developer YouTube channel content including WWDC sessions, tutorials, and live events for comprehensive video-based learning resources
Transform your AI agents into Apple development experts with instant access to official Swift docs, design guidelines, and platform knowledge.
๐ Learn More โข ๐ Get Started โข ๐ Dashboard
โจ 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.
๐ค AI-Powered Embedding & Reranking โข โก Semantic Search for RAG โข ๐ Keyword Search โข ๐ฏ Hybrid Search
๐ 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):
Manual Configuration Parameters:
MCP Type:
Streamable HTTPURL:
https://mcp.apple-rag.comAuthentication:
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:
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.
๐ Why Developers Love Apple RAG MCP
โก Fast & Reliable
Get quick responses with our optimized search infrastructure. No more hunting through docs.
๐ฏ 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.
๐ Always Secure
MCP authentication ensures trusted access for your AI agents with enterprise-grade security.
๐ Code Examples
Get practical code examples in Swift, Objective-C, and SwiftUI alongside documentation references.
๐ Real-time Updates
Our documentation index is continuously updated to reflect the latest Apple developer resources.
๐ Completely Free
Start immediately with no MCP Token required. Get an MCP Token for higher usage limits - all managed at apple-rag.com.
๐ฏ Features
๐ Semantic Search for RAG - Vector similarity with semantic understanding for intelligent retrieval
๐ Keyword Search - Precise technical term matching for API names and specific terminology
๐ฏ Hybrid Search - Combined semantic and keyword search with AI reranking for optimal results
๐ Complete Coverage - iOS, macOS, watchOS, tvOS, visionOS documentation
๐บ Video Content - Apple Developer YouTube channel with WWDC sessions and tutorials
โก Fast Response - Optimized for speed across all content types
๐ High Performance - Multi-instance cluster deployment for maximum throughput
๐ Always Current - Synced with Apple's latest docs and video content
๐ก๏ธ Secure & Private - Your queries stay private
๐ Universal MCP - Works with any MCP-compatible client
๐ค Community & Support
๐ Dashboard: apple-rag.com
๐ Documentation: Complete setup guides and examples
๐ฌ Support: Get help through our web dashboard
โญ GitHub: Star this repo if you find it useful!
Ready to supercharge your AI agents with Apple expertise?
๐ Get Started Now โข โญ Star on GitHub
Made with โค๏ธ for the Apple developer community