### The Apple docs MCP your AI actually deserves. *Apple docs. WWDC26 transcripts. RAG retrieval + [Jev](https://typesafe.ai/) relevance ranking. One clean tool.* [Website](https://apple-rag.com) · Powered by [

Jev](https://typesafe.ai/) [![CI](https://github.com/BingoWon/apple-rag-mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/BingoWon/apple-rag-mcp/actions/workflows/ci.yml) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) · **English** | [中文](./README.zh-CN.md)

--- ## Not Just Another Docs Tool Hybrid retrieval combines keyword and semantic search to find Apple sources. [Jev](https://typesafe.ai/) then ranks the merged candidates for relevance to your question, bringing the best matches to your agent. **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. ### Powered by [

Jev](https://typesafe.ai/) [Jev](https://typesafe.ai/), a decision model, scores candidate Apple documentation and video transcripts against each query's API, platform, and version requirements. We use its relevance scores to rank the sources returned through MCP. A backup reranker takes over if the API call fails. --- ## Open Source. Ready to Use. The [hosted service](https://apple-rag.com/) connects your agent to an Apple knowledge base that is already collected, cleaned, and indexed. - **Ready-to-query sources:** Official developer documentation and video transcripts, available through one connection. - **Retrieval model calls included:** Embeddings, [Jev](https://typesafe.ai/) ranking, and the backup reranker run on our service. - **Ongoing upkeep:** We handle content collection, index updates, database backups, and protocol compatibility. The source is public for inspection and self-hosting. Running your own instance means operating a database, building and refreshing your corpus, and managing your model API credentials. [Start free](https://apple-rag.com/). [Pro](https://apple-rag.com/#pricing) includes 50,000 tool calls/week and 50/minute for $1/week, shared by `search` and `fetch`. --- ## Start in Seconds **Configure with your agent:** In the [dashboard](https://apple-rag.com/overview), 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](https://cursor.com/deeplink/mcp-install-light.svg)](https://cursor.com/en/install-mcp?name=apple-rag-mcp&config=eyJ1cmwiOiJodHRwczovL21jcC5hcHBsZS1yYWcuY29tIn0%3D) Open [Cursor](https://cursor.com) 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. ```json { "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`, with legacy `initialize` support for `2025-11-25`, `2025-06-18`, and `2025-03-26` - **Authentication:** `Optional` (MCP Token for higher limits) - **MCP Token:** Get yours at [apple-rag.com](https://apple-rag.com) for increased quota 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. ### 🎯 **AI-Powered Hybrid Search** Hybrid search combines keyword and semantic retrieval for Apple documentation and video transcripts. [Jev](https://typesafe.ai/) then ranks the combined candidates against your question, giving your agent more relevant context. ### 🔒 **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. ### 🆓 **Start Free** Try without an account: 30 tool calls/week and 3/minute. Register at [apple-rag.com](https://apple-rag.com/) for 50/week and 5/minute, shared by `search` and `fetch`.

## 🎯 Features - **🔍 Semantic Search** - Vector similarity with semantic understanding for intelligent retrieval - **🔎 Keyword Search** - Precise technical term matching for API names and specific terminology - **🎯 Hybrid Search** - Combines keyword and semantic retrieval - **📚 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`, with legacy Streamable HTTP compatibility ## 📄 License This project is licensed under the [MIT License](LICENSE).

--- **Better docs. Better context. Better code.** [Get Started →](https://apple-rag.com)