Apple Docs by G Cqd is a free MCP server tool designed to provide AI assistants with direct access to Apple's developer documentation. Built with JavaScript and running on the Bun runtime, this program connects to Apple Developer Documentation, WWDC session transcripts, and framework APIs. It helps AI clients like Claude retrieve specific information, enabling detailed queries and content lookups across Apple's extensive knowledge base. The tool is distributed by cloning its Git repository and running it from source.

What does Apple Docs connect to?

Apple Docs serves as an MCP server, linking AI assistants to critical Apple resources. It establishes connections with Apple Developer Documentation, WWDC session transcripts, and various framework APIs. This setup allows AI systems to query and retrieve information directly from these official sources. Its design focuses on making Apple's vast documentation accessible for automated processing and information retrieval, supporting AI-driven interactions with technical content. The server's category is specifically an MCP server, indicating its role in providing model context.

Core features and tools

Apple Docs exposes several callable tools for interacting with Apple's documentation. These include search <query> for full-text searches, lookup <path-or-symbol> to retrieve Markdown content for pages or symbols, and frameworks to list documentation roots. Users can also employ browse <framework> to navigate topic trees, sync to download and index documentation, update to pull changes, index to build the search index, and doctor to diagnose and repair the corpus.

Who is it for?

This tool is intended for AI assistants and human developers who require programmatic access to Apple's documentation. It is particularly useful for those building AI applications that need to understand or respond based on Apple's technical specifications and guides. The design focuses on automated information retrieval for development and learning purposes. Skip this if you do not need programmatic access to Apple documentation for AI assistants or development workflows.

How to get started

No credentials are required for Apple's services, implying reliance on public access or local data for its operations. The server communicates using the stdio transport protocol, making it compatible with various AI clients, including Claude. Setup involves configuring a synced data directory, which is managed via the APPLE_DOCS_HOME environment variable to ensure proper data management and access.

Use cases

• Performing full-text search across Apple documentation with BM25 ranking.
• Looking up symbols to retrieve complete Markdown content including declarations, parameters, and discussions.
• Browsing framework topic trees to explore documentation structure.

Apple Docs offers a direct pathway for AI assistants and developers to interact with Apple's technical documentation. Its JavaScript-based Bun runtime architecture provides a specialized MCP server for content retrieval and search. The tool supports various operations from full-text queries to detailed symbol lookups. Try performing a full-text search across Apple documentation using the search tool.