Apple Docs
Empowers AI coding assistants with semantic search across Apple's comprehensive developer documentation, WWDC transcripts, and code examples.
关于
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.
主要功能
- Advanced Semantic Search: Utilizes OpenAI embeddings for vector search, allowing AI to understand conceptual queries and provide precise answers.
- Fast Local Responses: All documents are preprocessed, embedded, and stored locally, ensuring search results are delivered in under a second.
- Latest API Coverage: Includes up-to-date documentation for iOS 18 and macOS Sequoia, keeping developers current with Apple's ecosystem.
- Zero-Confirmation Integration: Seamlessly integrates with AI coding assistants like Cursor, offering auto-start and pre-approved tool access for a smooth workflow.
- 0 GitHub stars
- Comprehensive Apple Documentation: Indexes over 16K documents including API references, WWDC transcripts (2019-2024), and code examples across all Apple platforms.
使用案例
- Integrating Apple developer documentation into AI coding assistants for enhanced contextual understanding.
- Querying conceptual topics in Apple development, such as 'memory management in SwiftUI,' to get precise answers with source links.
- Quickly finding specific API references, code examples, or WWDC insights without manual browsing.
