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apple-fm-mcp

by sophiacave
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Python
Local

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: lucid-apple-mcp

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

Tool

Description

Latency

fm_generate

Free-form text generation

~1s

fm_summarize

Summarize text into bullet points

~4s

fm_classify

Classify text into categories

~2s

fm_extract

Extract structured data from text

~3s

fm_status

Check model availability

instant

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

Task

Use Apple FM

Use Claude

Quick classification

Yes

Overkill

Text summarization

Yes (short text)

Yes (long documents)

Code generation

No

Yes

Complex reasoning

No

Yes

Data extraction

Yes (simple)

Yes (complex)

Privacy-critical

Yes

Depends

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License

MIT

This server cannot be deployed

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Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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