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io.github.TheBaronofAI/vetted-consumer

by TheBaronofAI · remote · no sign-in to list tools · v1.0.0 · published by GitHub user TheBaronofAI

Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.

Changes · 4
CompareRegistry entry

9 tools: 4 change things and 5 only read.

Scanned Oct 21, 2026

No check matched anything in the tool definitions. No finding is not a safety guarantee. How the checks work.

claude mcp add --transport http vetted-consumer https://vettedconsumer.com/mcp

Tools

Open a tool for its reasons and full description. Descriptions are the publisher's own words, shown as they are.

9 tools

Changes things 4Claude Code: ask
  • can_i_run_itWill a given local LLM run on given hardware?No findings

    Why it is in this group

    • The name "can_i_run_it" says "run": a word for a change.
    Description, as the server wrote it
    Will a given local LLM run on given hardware? Returns fit, the best quant that fits, theoretical tok/s, and real owner-measured tok/s where available.
  • cheapest_hardware_for_modelThe cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    The cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context.
  • recommend_hardwareRanked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Ranked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap.
  • recommend_quantWhich GGUF quantization to download for a model on given hardware: the full quant ladder with file size, max context, and tok/s for each, plus the recommended pick.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Which GGUF quantization to download for a model on given hardware: the full quant ladder with file size, max context, and tok/s for each, plus the recommended pick.
Only reads 5Claude Code: allow
  • compare_hardwareSide-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines.No findings

    Why it is in this group

    • The name "compare_hardware" says "compare": a word for reading.
    Description, as the server wrote it
    Side-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines.
  • cost_compareBuy vs rent vs API cost to run a model locally: monthly/1y/3y totals, break-even months, and the energy cost per 1M tokens.No findings

    Why it is in this group

    • The name "cost_compare" says "compare": a word for reading.
    Description, as the server wrote it
    Buy vs rent vs API cost to run a model locally: monthly/1y/3y totals, break-even months, and the energy cost per 1M tokens. Same math as /cost-calculator/.
  • get_used_gpu_pricesCurrent typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly).No findings

    Why it is in this group

    • The name "get_used_gpu_prices" says "get": a word for reading.
    Description, as the server wrote it
    Current typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly).
  • list_hardwareList the machines the tools know about (memory, bandwidth, price, buy link).No findings

    Why it is in this group

    • The name "list_hardware" says "list": a word for reading.
    Description, as the server wrote it
    List the machines the tools know about (memory, bandwidth, price, buy link).
  • list_modelsList the local LLM model classes the tools know about (params, dense/MoE, native context).No findings

    Why it is in this group

    • The name "list_models" says "list": a word for reading.
    Description, as the server wrote it
    List the local LLM model classes the tools know about (params, dense/MoE, native context).

This is not a safety rating, and no finding is not a safety guarantee. The groups and findings come from fixed checks of the tool definitions the server returned on the date shown, not from its code or what it does when called. How the checks work.

Install

Pinned to version 1.0.0. Values in angle brackets are yours to fill in.

claude mcp add --transport http vetted-consumer https://vettedconsumer.com/mcp

Run in a terminal.

Claude Code permissions

Allow the reads, ask before a change, deny the deletes. Paste into .claude/settings.json.

.claude/settings.json
{
  "permissions": {
    "allow": [
      "mcp__vetted-consumer__list_models",
      "mcp__vetted-consumer__list_hardware",
      "mcp__vetted-consumer__cost_compare",
      "mcp__vetted-consumer__get_used_gpu_prices",
      "mcp__vetted-consumer__compare_hardware"
    ],
    "ask": [
      "mcp__vetted-consumer__can_i_run_it",
      "mcp__vetted-consumer__recommend_quant",
      "mcp__vetted-consumer__cheapest_hardware_for_model",
      "mcp__vetted-consumer__recommend_hardware"
    ],
    "deny": []
  }
}

Tools that only read are allowed, tools that change things ask first, tools that delete or cancel are denied. It assumes the server is installed as vetted-consumer. Review it before you use it.