# Apple Developer Documentation (RAG)

> Use this tool when you need to quickly find relevant Apple Developer Documentation using AI-powered semantic search and retrieval capabilities. It solves problems of inefficient information retrieval and provides highly relevant results through vector similarity search, keyword search, and AI reranking, with inputs including technical terms and API names, and outputs of accurate documentation results. Ideal for developers building AI assistants, it offers reliable and rate-limited access to Apple's technical documentation and API references.

Canonical page: https://skillsregistry.net/skills/bingowon-apple-rag  
JSON: https://api.skillsregistry.net/v1/skills/bingowon-apple-rag

## Description

This MCP server provides AI-powered semantic search and retrieval capabilities for Apple Developer Documentation, built by the Apple RAG Team using TypeScript and deployed on Cloudflare Workers. The implementation combines vector similarity search using PostgreSQL with pgvector, keyword search optimized for technical terms and API names, and AI reranking through SiliconFlow's embedding and reranker models to deliver highly relevant documentation results. Features include multi-key API failover for reliability, subscription-based rate limiting with anonymous access support, query cleaning to remove temporal information, and comprehensive logging with Telegram notifications, making it ideal for developers building AI assistants that need accurate access to Apple's technical documentation and API references.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bingowon-apple-rag)
- **Repository:** <https://github.com/bingowon/apple-rag-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": "bingowon-apple-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bingowon-apple-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bingowon-apple-rag/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