MCP server

Apple-rag Official

com.apple-rag/mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Apple developer docs and WWDC transcripts with RAG retrieval and Jev relevance ranking.

Source

At a glance

Type

MCP server

Publisher

apple-rag.com (verified by the MCP Registry)

Status

Working at last check

Tools

2

Token cost

About 367 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http apple-rag https://mcp.apple-rag.com

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.apple-rag]
url = "https://mcp.apple-rag.com"

Gemini CLI

{"mcpServers":{"apple-rag":{"httpUrl":"https://mcp.apple-rag.com"}}}

Cursor

{"mcpServers":{"apple-rag":{"url":"https://mcp.apple-rag.com"}}}

VS Code

{"servers":{"apple-rag":{"type":"http","url":"https://mcp.apple-rag.com"}}}

Antigravity

agy mcp add apple-rag https://mcp.apple-rag.com

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"apple-rag","server_url":"https://mcp.apple-rag.com","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"apple-rag","server_url":"https://mcp.apple-rag.com"}

Tools

• fetch ~130 tokens
  Retrieve complete cleaned content for a specific Apple developer documentation or video by URL. Returns the full processed content from Apple's official knowledge base.
• search ~237 tokens
  Search official Apple developer documentation and WWDC video transcripts using hybrid retrieval (keyword + semantic), followed by Jev relevance ranking of the merged candidates. Returns ranked source excerpts; use fetch for complete page content.

Browse

• Notes and wikis
• Searching your documents (RAG)

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