io.github.TheBaronofAI/vetted-consumer

io.github.TheBaronofAI/vetted-consumer · v1.0.0

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

MCPremoteno credentialsAI & LLM

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 9 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 95/100

What it does: 9 tools · 6 read, 0 write · AI & LLM

Test call list_models: worked (1,024 ms)

How the rating is made

Answers without login: +30
Speed of first answer: +10
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +10
Read/write annotations: 0
Safe test call: +20
More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

https://vettedconsumer.com/mcp

Tools

9 tools listed at last check

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 pick.
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.

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