Apple Docs is a server that provides AI coding assistants, like Cursor, with semantic search capabilities across Apple's entire developer documentation library, including API references, WWDC transcripts, and code examples.

How does Apple Docs improve AI coding assistants?

It allows AI assistants to understand conceptual queries and provide precise answers with source links, eliminating the need for manual searches. It offers comprehensive, up-to-date documentation coverage for all Apple platforms.

Is the search functionality fast?

Yes, Apple Docs utilizes a locally stored and preprocessed database with OpenAI embeddings. This ensures search results are delivered in under a second, providing instant access to information without API call delays.

How do I integrate Apple Docs with my AI coding assistant?

Integration is seamless, particularly with Cursor. You configure a `.cursor/mcp.json` file in your project root, specifying the command and API key. Settings like `autoStart` and `alwaysAllow` enable a zero-confirmation, smooth workflow.

Apple Docs: AI Semantic Search for Apple Developer Documentation

Name: Apple Docs
Author: bbssppllvv

This MCP server provides a powerful semantic search engine for Apple's entire developer documentation library, including iOS, macOS, watchOS, tvOS, visionOS documentation, WWDC session transcripts (2019-2024), complete API references, and code examples, all updated to the latest APIs like iOS 18 and macOS Sequoia. By utilizing OpenAI embeddings for vector search, it enables AI assistants, such as Cursor, to understand conceptual queries and retrieve highly relevant information quickly and accurately, eliminating the need for manual browsing. With over 16,253 preprocessed documents, it offers comprehensive coverage and fast, local responses, making it an indispensable resource for Apple developers.

Key Features

01Advanced Semantic Search: Utilizes OpenAI embeddings for vector search, allowing AI to understand conceptual queries and provide precise answers.

02Fast Local Responses: All documents are preprocessed, embedded, and stored locally, ensuring search results are delivered in under a second.

03Latest API Coverage: Includes up-to-date documentation for iOS 18 and macOS Sequoia, keeping developers current with Apple's ecosystem.

04Zero-Confirmation Integration: Seamlessly integrates with AI coding assistants like Cursor, offering auto-start and pre-approved tool access for a smooth workflow.

050 GitHub stars

06Comprehensive Apple Documentation: Indexes over 16K documents including API references, WWDC transcripts (2019-2024), and code examples across all Apple platforms.

Use Cases

01Integrating Apple developer documentation into AI coding assistants for enhanced contextual understanding.

02Querying conceptual topics in Apple development, such as 'memory management in SwiftUI,' to get precise answers with source links.

03Quickly finding specific API references, code examples, or WWDC insights without manual browsing.