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vetted-consumer

io.github.TheBaronofAI/vetted-consumerVersion 1.0.0

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

Status

Responds503 msAnswered our handshake without sign-in.

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Last checked
Nov 14, 2026, 14:43 UTC
Latency
503 ms
Remotes responding
1 of 1
Sign-in
No sign-in
Hosting
Hosted outside the EU (detected)
Registry data as of
Nov 14, 2026, 21:12 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP
https://vettedconsumer.com/mcpResponds503 ms
No sign-in

Claude Code

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

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: vetted-consumer
Remote MCP server URL: https://vettedconsumer.com/mcp

Cursor

{
  "mcpServers": {
    "vetted-consumer": {
      "url": "https://vettedconsumer.com/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"vetted-consumer","type":"http","url":"https://vettedconsumer.com/mcp"}'

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Tools

9 tools

Tools of vetted-consumer
Read-only
Idempotent
Open world
can_i_run_itWill 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.Not declaredNot declaredNot declaredNot declared
cheapest_hardware_for_modelThe cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context.Not declaredNot declaredNot declaredNot declared
compare_hardwareSide-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines.Not declaredNot declaredNot declaredNot declared
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. Same math as /cost-calculator/.Not declaredNot declaredNot declaredNot declared
get_used_gpu_pricesCurrent typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly).Not declaredNot declaredNot declaredNot declared
list_hardwareList the machines the tools know about (memory, bandwidth, price, buy link).Not declaredNot declaredNot declaredNot declared
list_modelsList the local LLM model classes the tools know about (params, dense/MoE, native context).Not declaredNot declaredNot declaredNot declared
recommend_hardwareRanked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap.Not declaredNot declaredNot declaredNot declared
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.Not declaredNot declaredNot declaredNot declared

Details

Registry status
Active
Published
Jun 22, 2026
Updated
Jun 22, 2026
Repository
Not given
Categories (suggested)
AI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR
Not declared

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