io.github.TheBaronofAI/vetted-consumer

up checked 2026-11-11T00:38:21.674Z

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Publisher-provided description

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

Summary by lookupd

Estimates whether local LLMs fit given hardware, picks GGUF quants, compares buy/rent/API costs, and lists hardware and used-GPU prices.

Install

Claude Code, remote (streamable-http)

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

Codex, remote (streamable-http)

codex mcp add vetted-consumer --url https://vettedconsumer.com/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

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

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (9 tools)

Publisher-provided text

• can_i_run_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.
• recommend_quant 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 p
• cheapest_hardware_for_model The cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context.
• list_models List the local LLM model classes the tools know about (params, dense/MoE, native context).
• list_hardware List the machines the tools know about (memory, bandwidth, price, buy link).
• cost_compare 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/.
• recommend_hardware Ranked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap.
• get_used_gpu_prices Current typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly).
• compare_hardware Side-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines.

Details

• Version: 1.0.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 303 ms
• First indexed: 2026-11-01T09:17:24.470Z
• Last seen in registry: 2026-11-01T09:17:24.470Z
• Website: https://vettedconsumer.com

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• 62071 servers
• Last crawl: 2026-11-11T16:39:06.253Z
• API base: https://api.lookupd.com
• MCP URL: https://api.lookupd.com/mcp