About Apple RAG MCP
Apple RAG MCP is an MCP server published by BingoWon in the Developer Tools category: MCP server providing AI agents with instant access to Apple developer documentation via RAG technology. It has been installed 0 times through Conduid.
The repository has 109 stars and 11 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx apple-rag-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
The Apple docs MCP your AI actually deserves.
Apple docs. WWDC transcripts. Semantic + keyword + hybrid search. One clean tool.
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
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
🧠 Agent Skill
We provide an Agent Skill that teaches AI agents how to use this MCP server effectively — 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 | ~/.cursor/skills/apple-dev-docs/ |
| Codex | ~/.codex/skills/apple-dev-docs/ |
Once installed, your AI agent will automatically know when and how to use Apple RAG MCP for Apple development questions.
📄 License
This project is licensed under the MIT License.
Better docs. Better context. Better code.
README mirrored from the source repository 2 days ago. The original is authoritative.