# Vetted Consumer

> Vetted Consumer — hi-10f9-vetted-consumer. Use this tool when you need to determine the compatibility of local LLM models with your hardware or find the most cost-effective solution for running them. It solves problems such as identifying suitable models for your GPU, Mac, or mini-PC, and provides recommendations for hardware and quantization levels based on your specific needs. It takes in queries about models and hardware, and outputs tailored advice on compatibility, pricing, and hardware recommendations.

Canonical page: https://skillsregistry.net/skills/hi-10f9-vetted-consumer  
JSON: https://api.skillsregistry.net/v1/skills/hi-10f9-vetted-consumer

## Description

A free, hosted MCP server for local-LLM hardware decisions. Ask whether a model fits your GPU, Mac, or mini-PC, which GGUF quant to download, the cheapest machine that runs it, and the buy-vs-rent-vs-API cost, from a maintained catalog of models and machines plus a monthly used-GPU price feed. No install, no API key.

Tools: can_i_run_it, recommend_quant, cheapest_hardware_for_model, recommend_hardware, compare_hardware, cost_compare, get_used_gpu_prices, list_models, list_hardware.

Works with Claude, Cursor, Cline, and any MCP client.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/hi-10f9/vetted-consumer)

## 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": "hi-10f9-vetted-consumer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hi-10f9-vetted-consumer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hi-10f9-vetted-consumer/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