Apple Fm

CI License: MIT Python 3.10+

MCP server for Apple on-device Foundation Models. Use Apple Intelligence from any MCP client — Claude Code, Cursor, Windsurf — running locally on your Mac for free.

Built on python-apple-fm-sdk and the Model Context Protocol.

Requirements

• macOS 26+ (Tahoe) with Apple Intelligence enabled
• Apple Silicon Mac (M1+)
• Python 3.10+
• apple-fm-sdk — Apple's Python SDK for on-device Foundation Models

Installation

From source (recommended)

git clone https://github.com/yihan2099/apple-fm-mcp.git
cd apple-fm-mcp
uv sync

You also need the Apple Foundation Models SDK:

pip install git+https://github.com/apple/python-apple-fm-sdk.git

Note: apple-fm-mcp is not yet published to PyPI. uv tool install and pip install from PyPI will be available in a future release.

Usage

Claude Code

claude mcp add apple-fm -- apple-fm-mcp

Cursor / Windsurf

Add to your MCP config (~/.cursor/mcp.json or equivalent):

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

MCP Inspector

npx @modelcontextprotocol/inspector apple-fm-mcp

Tools

Tool	Description
check_model_availability	Check if the on-device model is available
generate	One-shot text generation with optional instructions
generate_structured	JSON output matching a provided schema
chat	Multi-turn conversation with named sessions
tag_content	Content tagging using Apple's CONTENT_TAGGING use case
list_sessions	List active conversation sessions
clear_session	Delete a named session
clear_all_sessions	Delete all sessions

Examples

Generate text:

"Use apple-fm to explain what a closure is in Swift"

Structured output:

"Use apple-fm generate_structured to extract {name, email, company} from this text: ..."

Multi-turn chat:

"Start an apple-fm chat session called 'code-review' and ask it to review this function" "In the 'code-review' session, ask it to suggest improvements"

Resources

URI	Description
apple-fm://status	Model availability + device info
apple-fm://sessions	Active sessions metadata
apple-fm://transcript/{name}	Conversation transcript for a session

Prompt Templates

Prompt	Parameters	Description
summarize	text, style (concise/detailed/bullet-points)	Summarize text
extract_structured	text, fields (comma-separated)	Extract named fields as JSON
classify	text, categories (comma-separated)	Single-label classification

Limitations

• macOS only — Apple Foundation Models require Apple Silicon and macOS 26+
• No streaming — MCP tools return complete responses
• In-memory sessions — conversation state is lost when the server restarts
• On-device model limits — the model is optimized for short tasks (summarization, extraction, classification), not long-form generation
• No image/audio — text-only; multimodal support may come in future SDK versions

SDK Documentation

This project wraps apple-fm-sdk. Key references:

• Official SDK docs — getting started, guides, full API reference
• Local API reference — curated extract of the classes and enums used by this MCP server

Development

git clone https://github.com/yihan2099/apple-fm-mcp.git
cd apple-fm-mcp
uv sync --dev
uv run pytest

Tests mock apple_fm_sdk so they run on any platform.

Linting

uv run ruff check src/ tests/
uv run ruff format src/ tests/

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT