# Apple Deep Docs MCP

> Use this tool when you need to access exclusive Apple development resources, including hidden Xcode documentation and Swift Evolution proposals, to solve complex development challenges and stay up-to-date with the latest Apple technologies. It provides a comprehensive search interface for retrieving advanced development documentation, WWDC session notes, and GitHub repositories. Ideal for developers working on Apple-specific projects who require in-depth knowledge and resources not available through public channels.

Canonical page: https://skillsregistry.net/skills/ahrentlov-appledeepdoc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ahrentlov-appledeepdoc-mcp

## Description

Provides comprehensive access to Apple's development documentation ecosystem including hidden Xcode docs, Swift Evolution proposals, GitHub repositories, and WWDC session notes. Enables developers to search and retrieve advanced Apple development resources not available through public channels.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gp6fwrat3y)
- **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-appledeepdoc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ahrentlov-appledeepdoc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ahrentlov-appledeepdoc-mcp/pull`

---
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