Apple Developer Documentation (RAG)
Apple Developer Documentation (RAG) delivers fast, relevant technical docs with advanced semantic and keyword search for
Provides semantic search and retrieval for Apple Developer Documentation using vector similarity search, keyword matching, and reranking to deliver relevant technical documentation and API references
About Apple Developer Documentation (RAG)
Apple Developer Documentation (RAG) is a community-built MCP server published by bingowon that provides AI assistants with tools and capabilities via the Model Context Protocol. Apple Developer Documentation (RAG) delivers fast, relevant technical docs with advanced semantic and keyword search for It is categorized under developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install Apple Developer Documentation (RAG) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
License
Apple Developer Documentation (RAG) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (2)
Search Apple's official developer documentation and video content using advanced RAG technology. Returns relevant content from Apple's technical documentation, frameworks, APIs, design guidelines, and educational resources.
Retrieve complete cleaned content for a specific Apple developer documentation or video by URL. Returns the full processed content from Apple's official knowledge base.
The Apple docs MCP your AI actually deserves.
370,000+ docs. 1,300+ WWDC transcripts. Semantic + keyword + hybrid search. One clean tool.
π Website β’ π Dashboard
English | δΈζ
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 leanβno bloated responses, no wasted tokens, no noise cluttering your agent's context. Just the information that matters.
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.
π Why Developers Love Apple RAG MCP
β‘ Fast & ReliableGet quick responses with our optimized search infrastructure. No more hunting through docs. π― AI-Powered Hybrid SearchAdvanced 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. π Always SecureMCP authentication ensures trusted access for your AI agents with enterprise-grade security. |
π Code ExamplesGet practical code examples in Swift, Objective-C, and SwiftUI alongside documentation references. π Real-time UpdatesOur documentation index is continuously updated to reflect the latest Apple developer resources. π Completely FreeStart immediately with no MCP Token required. Get an MCP Token for higher usage limits - all managed at apple-rag.com. |
π― Features
- π Semantic Search for RAG - Vector similarity with semantic understanding for intelligent retrieval
- π Keyword Search - Precise technical term matching for API names and specific terminology
- π― Hybrid Search - Combined semantic and keyword search with AI reranking for optimal results
- π Complete Coverage - iOS, macOS, watchOS, tvOS, visionOS documentation
- π¬ WWDC Videos - Full transcripts from Apple Developer videos and WWDC sessions
- β‘ Fast Response - Optimized for speed across all content types
- π High Performance - Multi-instance cluster deployment for maximum throughput
- π Always Current - Synced with Apple's latest docs and video content
- π‘οΈ Secure & Private - Your queries stay private
- π Universal MCP - Works with any MCP-compatible client
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