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apple-fm-mcp

sophiacave/apple-fm-mcp
STDIOregistry active
Summary

Connects Claude to Apple's on-device 3B parameter model that ships with Apple Intelligence on M-series Macs running macOS 26+. Exposes five tools: fm_generate for text completion, fm_summarize for bullet points, fm_classify for categorization, fm_extract for structured data, and fm_status to check availability. Everything runs locally on the Neural Engine with sub-second to few-second latency and zero API costs. Reach for this when you want fast, private inference for simple tasks like quick classification or extraction where Claude would be overkill, or when you're doing privacy-sensitive work that needs to stay on-device. Requires Apple Silicon and Apple Intelligence enabled in System Settings.

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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+

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

ToolDescriptionLatency
fm_generateFree-form text generation~1s
fm_summarizeSummarize text into bullet points~4s
fm_classifyClassify text into categories~2s
fm_extractExtract structured data from text~3s
fm_statusCheck model availabilityinstant

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

TaskUse Apple FMUse Claude
Quick classificationYesOverkill
Text summarizationYes (short text)Yes (long documents)
Code generationNoYes
Complex reasoningNoYes
Data extractionYes (simple)Yes (complex)
Privacy-criticalYesDepends

Built by Like One

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License

MIT

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Registryactive
Packageapple-fm-mcp
TransportSTDIO
UpdatedJun 9, 2026
View on GitHub