# mlx-local-inference

> mlx-local-inference — bendusy-mlx-local-inference. Use this tool when you need to run AI models locally on Apple Silicon Macs, solving issues with cloud dependency and data privacy. It provides a full local AI inference stack via MLX, accepting trained models as input and generating predictions as output. Ideal for use cases requiring low-latency, secure, and offline AI inference, such as real-time image classification or natural language processing.

Canonical page: https://skillsregistry.net/skills/bendusy-mlx-local-inference  
JSON: https://api.skillsregistry.net/v1/skills/bendusy-mlx-local-inference

## Description

Full local AI inference stack on Apple Silicon Macs via MLX.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-14

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/bendusy-mlx-local-inference)

## 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": "bendusy-mlx-local-inference"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bendusy-mlx-local-inference` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bendusy-mlx-local-inference/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