Cupertino
Cupertino is a Swift - based localization tool used to crawl, index, and provide Apple developer documentation to AI agents through the Model Context Protocol (MCP). It supports offline access to over 230,000 pages of Apple platform documentation, Swift proposals, design guidelines, and sample code, and enables fast retrieval through the SQLite FTS5 search engine.
2.5 points
5.6K

What is Cupertino?

Cupertino is a local Apple documentation system designed specifically for AI assistants. It can automatically crawl, index, and store Apple's official developer documentation offline. Then, through the Model Context Protocol (MCP), AI assistants like Claude can accurately query Apple API information, avoiding AI hallucination issues.

How to use Cupertino?

Cupertino offers three usage methods: 1) One - click installation to download a pre - built database (the fastest, about 30 seconds); 2) Stream - build from GitHub (about 45 minutes); 3) Full manual crawling (about 20 - 48 hours). After installation, configure Claude Desktop to start using it.

Applicable scenarios

Cupertino is most suitable for the following scenarios: 1) When you need to consult Apple documentation during offline development; 2) When you want AI assistants to provide accurate Apple API information; 3) When you need to quickly search for Swift Evolution proposals; 4) When you are researching Apple design guidelines and best practices; 5) When you are looking for official sample code and implementation solutions.

Main Features

Multi - source documentation crawling
Supports 7 types of documentation sources, including Apple developer documentation (over 234,000 pages), Swift Evolution proposals, Swift.org documentation, Swift package metadata, Apple sample code, Apple Archive historical guidelines, and Human Interface Guidelines.
Full - text search engine
Fast search based on SQLite FTS5 and BM25 ranking, supporting stemming (e.g., 'running' matches 'run'), framework filtering, and platform version filtering. The query response time is less than 100ms.
MCP protocol integration
Provides documentation access capabilities for AI assistants through the Model Context Protocol, supporting tool calls such as search_docs, search_hig, list_frameworks, and read_document.
Fully offline access
All documentation is stored locally and can be used without an internet connection. It includes complete documentation for 287 frameworks, totaling 234,331 pages.
Sample code search
Indexes 606 official Apple sample projects and supports full - text search across more than 18,000 Swift files. You can directly view the project README and source code.
Pre - built databases
Provides a pre - built documentation database that can be downloaded with one click and installed within 30 seconds, eliminating the need for long - term crawling. It includes a Swift package directory (9,699 packages) and a sample code directory.
Advantages
Eliminate AI hallucination: Provide accurate Apple API documentation for AI assistants to avoid misinformation.
Offline development: Access complete documentation even in a network - free environment.
Deterministic search: The same query always returns the same result, which is reproducible.
Local control: Have full control over your own documentation data, and you can check the database and customize workflows.
AI - first design: Optimized specifically for AI assistant integration and seamlessly connected through the MCP protocol.
Fast installation: The pre - built database can be installed in 30 seconds without long - term waiting.
Limitations
Only supports macOS 15+: Requires the latest macOS system.
Long initial crawling time: Full crawling takes 20 - 48 hours (but the pre - built database can avoid this issue).
High disk space requirement: The complete documentation requires approximately 2 - 3GB of storage space.
Documentation update delay: Manual updates are required to obtain the latest documentation.
Limited to the Apple platform: Focuses on the Apple ecosystem and does not include documentation for other platforms.

How to Use

Install Cupertino
Choose the installation method that suits you best. It is recommended to use the one - click installation command, which is the fastest and simplest.
Download the documentation database
Use the setup command to download the pre - built documentation database. This is the fastest way.
Configure Claude Desktop
Edit the Claude Desktop configuration file and add Cupertino as the MCP server.
Restart and start using
Restart Claude Desktop. Now you can ask Claude questions about Apple - related technologies.

Usage Examples

SwiftUI development query
When developing a SwiftUI application, you need to query the usage method of specific components.
Research on Swift language features
Understand new language features in Swift Evolution proposals.
Consultation of design specifications
When designing an iOS application, you need to refer to Apple's design guidelines.
Search for sample code
You need to find official implementation examples for specific functions.
API availability check
Check the minimum system version supported by an API.

Frequently Asked Questions

Does Cupertino require an internet connection?
Why does it take so long to crawl the documentation?
Which AI assistants are supported?
How to update the documentation?
Can it be used on non - macOS systems?
Where is the documentation data stored?
Can I download documentation for specific frameworks only?
How to check if the server is running normally?

Related Resources

GitHub Repository
The source code and latest version of Cupertino
Demo Video
Function demonstration and usage tutorial of Cupertino
Model Context Protocol Official Website
Official documentation and specifications of the MCP protocol
PulseMCP List
Server list on PulseMCP
LobeHub List
Server list on LobeHub
Issue Feedback
Submit issues and feature requests
Discussion Area
Discuss usage experiences and tips with other users

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "cupertino": {
      "command": "/usr/local/bin/cupertino",
      "args": ["serve"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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