Apple Rag Mcp

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Not Just Another Docs Tool

Others give you keyword search. We give you that, plus semantic understanding, plus AI-powered hybrid search that combines both intelligently. Every search mode you need, working together.

Minimal footprint. Maximum signal. Our MCP tools are designed to be lean—no bloated responses, no wasted tokens, no noise cluttering your agent's context. Just the information that matters.

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Start in Seconds

One click:

Click the button above and your editor 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

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
• 🎬 WWDC Videos - Full transcripts from Apple Developer videos and WWDC sessions
• ⚡ 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