Apple Foundation Models MCP Server

Expose Apple's on-device 3B parameter LLM to Claude Code and Claude Desktop via MCP. Zero API cost, fully private, runs on Neural Engine.

Requirements

• macOS 26+ (Tahoe or later)

• Apple Silicon (M1/M2/M3/M4)

• Apple Intelligence enabled in System Settings

• Python 3.10+

Related MCP server: Local LLM MCP Server

Install

pip install apple-fm-mcp

Configure

Add to your Claude Code config (~/.claude/mcp.json):

{
  "mcpServers": {
    "apple-fm": {
      "command": "apple-fm-mcp"
    }
  }
}

Or Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "apple-fm": {
      "command": "apple-fm-mcp"
    }
  }
}

Tools

Why Use This?

• Free: No API keys, no tokens, no cloud costs

• Private: All inference on-device, no data leaves your Mac

• Fast: Neural Engine optimized, ~1s for generation

• Complementary: Use alongside Claude for tasks where on-device speed matters

When to Use Apple FM vs Claude

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License

MIT