Apple RAG MCP

by BingoWon

Apple RAG MCP provides a semantic, keyword, and hybrid search tool for Apple developer documentation, including 370,000+ docs and 1,300+ WWDC transcripts. It supports secure MCP authentication and real-time updates. No external data files are required to be configured by the user.

Developer toolsstdioCommunity

Repository-wide counts · Cached 2026-03-25

Overview

The Apple RAG MCP MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the Apple RAG MCP repository to read the latest documentation.

KEEP EXPLORING

Compare source, connection, and authentication details before choosing an implementation.

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FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

View original
Apple RAG MCP

The Apple docs MCP your AI actually deserves.

Apple docs. WWDC26 transcripts. Semantic + keyword + hybrid search. One clean tool.

Apple RAG MCP — apple-rag.com

Install MCP Server

Install in VS Code Install in VS Code Insiders

🌐 Website • 📊 Dashboard

CI License: MIT

English | 中文


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.


Start in Seconds

Configure with your agent: In the dashboard, select a token and click Copy Install Prompt. Paste it into your current agent to configure the connection and verify the tools.

One click:

Install MCP Server

Install in VS Code Install in VS Code Insiders

Click a button to open your editor and confirm installation.

Option 2: Manual Setup for Other MCP Clients

JSON Configuration (Copy & Paste): This is a configuration example, not a universal client format. The dashboard also retains manual configuration examples.

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

Manual Configuration Parameters:

  • MCP Type: Streamable HTTP
  • URL: https://mcp.apple-rag.com
  • Protocol: 2026-07-28
  • Authentication: Optional (MCP Token for higher limits)
  • MCP Token: Get yours at apple-rag.com for increased quota

Client compatibility requires support for protocol 2026-07-28; saving a configuration alone does not verify a working connection.

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.

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 for WWDC26, Xcode 27 beta, and 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 27, iPadOS 27, macOS 27, watchOS 27, tvOS 27, and visionOS 27 documentation
  • 🎬 WWDC26 Videos - Full transcripts from Apple Developer videos and WWDC26 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, WWDC26 sessions, and Xcode 27 beta references
  • 🛡️ Secure & Private - Your queries stay private
  • 🌐 MCP 2026 Native - Stateless MCP 2026-07-28

📄 License

This project is licensed under the MIT License.


Better docs. Better context. Better code.

Get Started →