vetted-consumer
io.github.TheBaronofAI/vetted-consumerVersion 1.0.0Will 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.- 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 msNo sign-in
Claude Code
claude mcp add --transport http vetted-consumer https://vettedconsumer.com/mcpClaude Desktop and claude.ai
Settings > Connectors > Add custom connector
Name: vetted-consumer
Remote MCP server URL: https://vettedconsumer.com/mcpCursor
{
"mcpServers": {
"vetted-consumer": {
"url": "https://vettedconsumer.com/mcp"
}
}
}VS Code
code --add-mcp '{"name":"vetted-consumer","type":"http","url":"https://vettedconsumer.com/mcp"}'Built your own server? run.zero hosts MCP servers on European infrastructure.
Tools
9 tools
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 declared | Not declared | Not declared | Not declared |
cheapest_hardware_for_modelThe cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context. | Not declared | Not declared | Not declared | Not declared |
compare_hardwareSide-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines. | Not declared | Not declared | Not declared | Not 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 declared | Not declared | Not declared | Not declared |
get_used_gpu_pricesCurrent typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly). | Not declared | Not declared | Not declared | Not declared |
list_hardwareList the machines the tools know about (memory, bandwidth, price, buy link). | Not declared | Not declared | Not declared | Not declared |
list_modelsList the local LLM model classes the tools know about (params, dense/MoE, native context). | Not declared | Not declared | Not declared | Not declared |
recommend_hardwareRanked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap. | Not declared | Not declared | Not declared | Not 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 declared | Not declared | Not declared | Not 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