Docs & KnowledgeMCP Registryremote2 toolsA · 89

Apple-rag MCP

com.apple-rag · Updated today

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

At a glance

Apple-rag MCP is an MCP server in the Docs & Knowledge category. It is hosted remotely and connects over HTTP, and declares no required credentials. It exposes 2 tools, including search and fetch. It scores A (89/100) on the MCP Skills Hub health score as of Oct 27, 2026.

Source 121

One-click install

VS Code VS Code Insiders Cursor

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install Apple-rag MCP in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install Apple-rag MCP in Claude CodeAnthropic's agentic CLI

Add the server

bash

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

2
Verify it's connected
bash
```
claude mcp list
```
Sharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes (e.g. search, fetch). It discovers them automatically.

How to install Apple-rag MCP in Claude DesktopDesktop app (MCP config)

Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this server

json

{
  "mcpServers": {
    "apple-rag": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.apple-rag.com"
      ]
    }
  }
}

Why the wrapper?
This is a remote (HTTP) server and Claude Desktop only launches local processes, so mcp-remote proxies the connection. It will open a browser window if the server needs OAuth.
Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.

How to install Apple-rag MCP in CursorAI-first code editor

Create / edit .cursor/mcp.json in your project

json

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

Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

How to install Apple-rag MCP in Codex CLIOpenAI coding agent

Add to ~/.codex/config.toml

toml

[mcp_servers.apple-rag]
command = "npx"
args = ["-y", "mcp-remote", "https://mcp.apple-rag.com"]

Why the wrapper?
Codex runs MCP servers as local processes, so mcp-remote bridges this HTTP endpoint to stdio.
Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

How to install Apple-rag MCP in WindsurfCodeium's agentic IDE

Edit ~/.codeium/windsurf/mcp_config.json

json

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

Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

How to install Apple-rag MCP in ClineVS Code autonomous agent

Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.

Add the server

json

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

How to install Apple-rag MCP in VS CodeCopilot / MCP support

Create .vscode/mcp.json

json

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

Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

What does Apple-rag MCP need from you?

Bearer token — MCP Token for authentication (optional - free tier available without token)

AuthorizationoptionalHTTP header
MCP Token for authentication (optional - free tier available without token)

What tools does Apple-rag MCP expose? (2)

Read from the live server. Click any tool for its input schema.

searchSearch 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.
fetchRetrieve complete cleaned content for a specific Apple developer documentation or video by URL. Returns the full processed content from Apple's official knowledge base.

What the code can do

This is a remote server — nothing is installed or run on your machine, so there is no local code to analyze. What it can reach is described above: your requests go to the provider's host.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

Third-party hosted service — Your requests and any data in them are sent to mcp.apple-rag.com.
No local execution — Nothing is installed or run on your machine.

Last commit today — Actively maintained.
121 GitHub stars — Community adoption signal.

Client compatibility

Claude Code: NativeClaude Desktop: Via mcp-remoteCursor: NativeCodex CLI: Via mcp-remoteWindsurf: NativeCline: NativeVS Code: Native

Health score

A · 89

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

Maintenance30%100%
Last commit 0 days ago.
Adoption20%63%
121 stars.
Transparency20%100%
4/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✓ discoverable tool list.
Provenance15%75%
Links to its own repository; package linkage unverified.
Packaging15%100%
Remote endpoint with documented authentication.

Documentation

Full README

The Apple docs MCP your AI actually deserves.

*Apple docs. WWDC26 transcripts. RAG retrieval + Jev relevance ranking. One clean tool.*

Website · Powered by Jev

![CI](https://github.com/BingoWon/apple-rag-mcp/actions/workflows/ci.yml) ![License: MIT](LICENSE) ![Listed on mcpservers.org](https://mcpservers.org/servers/bingowon/apple-rag-mcp) · English | 中文

Not Just Another Docs Tool

Hybrid retrieval combines keyword and semantic search to find Apple sources. Jev then ranks the merged candidates for relevance to your question, bringing the best matches to your agent.

Minimal footprint. Maximum signal. Our MCP tools are designed to be lean—no bloated responses, no wasted tokens, no noise cluttering your agent's context. Just the information that matters.

Jev, a decision model, scores candidate Apple documentation and video transcripts against each query's API, platform, and version requirements. We use its relevance scores to rank the sources returned through MCP. A backup reranker takes over if the API call fails.

Open Source. Ready to Use.

The hosted service connects your agent to an Apple knowledge base that is already collected, cleaned, and indexed.

Ready-to-query sources: Official developer documentation and video transcripts, available through one connection.
Retrieval model calls included: Embeddings, Jev ranking, and the backup reranker run on our service.
Ongoing upkeep: We handle content collection, index updates, database backups, and protocol compatibility.

Alternatives to Apple-rag MCP

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Shows its health grade, and links readers to install steps for every client.

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