# Apple Deep Docs

> Use this tool when you need to access Apple's comprehensive development documentation, including hidden Xcode resources, official APIs, and open-source repositories, to gain deep technical insights and understanding of Swift language design decisions. It solves problems of limited documentation and provides inputs such as search queries, with outputs including relevant code examples and technical guides. Ideal for iOS and macOS developers seeking advanced knowledge and implementation examples from Apple's source code.

Canonical page: https://skillsregistry.net/skills/ahrentlov-apple-deep-docs  
JSON: https://api.skillsregistry.net/v1/skills/ahrentlov-apple-deep-docs

## Description

Built by Patrick with a modular Python architecture using FastMCP, this server provides access to Apple's complete development documentation ecosystem. It taps into Xcode's hidden local documentation containing Liquid Glass design patterns and advanced SwiftUI guides, Apple's official developer documentation via undocumented JSON APIs, live Swift Evolution proposals from swift.org, and searchable access to all Apple/SwiftLang open-source repositories on GitHub. Features intelligent caching, relevance-based search scoring, and automatic discovery of multiple Xcode installations, making it valuable for iOS/macOS developers who need deep technical insights beyond standard documentation, understanding of Swift language design decisions, and access to real implementation examples from Apple's source code.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ahrentlov-apple-deep-docs)
- **Repository:** <https://github.com/ahrentlov/appledeepdoc-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ahrentlov-apple-deep-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ahrentlov-apple-deep-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ahrentlov-apple-deep-docs/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt