Apple RAG MCP
Provides semantic, keyword, and hybrid search over Apple's developer documentation and WWDC session transcripts, enabling access to code examples, API references, and video content across iOS, macOS, watchOS, tvOS, and visionOS.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Apple RAG MCPFind WWDC 2024 session transcript on machine learning"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
The Apple docs MCP your AI actually deserves.
Apple docs. WWDC26 transcripts. Semantic + keyword + hybrid search. One clean tool.
๐ Website โข ๐ Dashboard
English | ไธญๆ
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 leanโno bloated responses, no wasted tokens, no noise cluttering your agent's context. Just the information that matters.
Related MCP server: Apple RAG MCP
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 HTTPURL:
https://mcp.apple-rag.comProtocol:
2026-07-28with automatic compatibility for 2025 clientsAuthentication:
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.
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 for WWDC26, Xcode 27 beta, and 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 27, iPadOS 27, macOS 27, watchOS 27, tvOS 27, and visionOS 27 documentation
๐ฌ WWDC26 Videos - Full transcripts from Apple Developer videos and WWDC26 sessions
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, WWDC26 sessions, and Xcode 27 beta references
๐ก๏ธ Secure & Private - Your queries stay private
๐ MCP 2026 Ready - Stateless MCP
2026-07-28with automatic compatibility for 2025 clients
๐ง Agent Skill
We provide an Agent Skill that teaches AI agents how to use this MCP server effectively โ including query best practices, search-then-fetch workflow, result completeness handling, and rate limit guidance.
Install: Copy the skills/apple-dev-docs/ directory to your agent's skill location:
Platform | Destination |
Cursor |
|
Codex |
|
Once installed, your AI agent will automatically know when and how to use Apple RAG MCP for Apple development questions.
๐ License
This project is licensed under the MIT License.
Better docs. Better context. Better code.
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