# apple-fm-mcp

> Use this tool when you need to leverage Apple's on-device large language model (LLM) for tasks like text generation, conversation, or language understanding, with the benefits of zero API cost and full privacy. It exposes the 3B parameter LLM to Claude Code and Claude Desktop via MCP, utilizing the Neural Engine for efficient processing. Ideal for applications requiring local, private, and cost-effective language processing capabilities.

Canonical page: https://skillsregistry.net/skills/sophiacave-apple-fm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sophiacave-apple-fm-mcp

## Description

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

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/koa001xsr2)
- **Repository:** <https://github.com/sophiacave/apple-fm-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sophiacave-apple-fm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sophiacave-apple-fm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sophiacave-apple-fm-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt