by mihaelamj · MCP Server · ★ 841
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🍎📚 Cupertino Apple documentation CLI for humans and MCP server for AI agents. Cupertino is a CLI for human developers and an MCP server for AI agents. Both surfaces use the same local catalog of Apple documentation, Swift packages, sample code, Human Interface Guidelines, Swift Evolution proposals, and Swift.org pages. Latest: v1.3.0 (2026-05-31): per-source database bundle, read-only databases. The Apple documentation slice carries 351,505 documents / 240,543 symbols across 420+ frameworks, alongside the HIG, archive, Swift Evolution, Swift.org, Swift Book, package, and sample-code DBs. Release notes · CHANGELOG · Roadmap · live dashboard at . Follow updates on X: @cupertinomcp. If Cupertin
| Stars | 841 |
| Forks | 38 |
| Language | Swift |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.6424903104252/100 |
| Open Issues | 99 |
| Last Updated | 2026-06-24 |
| Created | 2025-11-14 |
| Platforms | cli, mcp |
| Est. Tokens | ~21k |
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cupertino is A local Apple Documentation crawler and MCP server. Written in Swift.. It is categorized as a MCP Server with 841 GitHub stars.
cupertino is primarily written in Swift. It covers topics such as apple-documentation, cli, command-line-tool.
You can find installation instructions and usage details in the cupertino GitHub repository at github.com/mihaelamj/cupertino. The project has 841 stars and 38 forks, indicating an active community.
cupertino is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cupertino on Agent Skills Hub include roam-code, apple-docs-mcp, atlassian-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: