Apple Fm Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Apple Fm Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.sophiacave/apple-fm-mcp -->
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.
pip install apple-fm-mcpAdd 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"
}
}
}| 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 |
| 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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~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.