Vetted Consumer
A free, hosted MCP server for local-LLM hardware decisions. Ask whether a model fits your GPU, Mac, or mini-PC, which GGUF quant to download, the cheapest machine that runs it, and the buy-vs-rent-vs-API cost, from a maintained catalog of models and machines plus a monthly used-GPU price feed. No install, no API key. Tools: can_i_run_it, recommend_quant, cheapest_hardware_for_model, recommend_hardware, compare_hardware, cost_compare, get_used_gpu_prices, list_models, list_hardware. Works with Claude, Cursor, Cline, and any MCP client.
How to connect
Same URL, five paste targets. Ready surface · Auth required. Not a safe-to-install badge. Handshake this URL
Paste into Settings → MCP or .cursor/mcp.json.
{
"mcpServers": {
"hi-10f9-vetted-consumer": {
"url": "https://vetted-consumer--hi-10f9.run.tools"
}
}
}
Settings → Connectors → Add → Custom → Web. Paste the URL. Enable in a new chat.
Claude → Settings → Connectors → Add → Custom → Web
Name: Vetted Consumer
URL: https://vetted-consumer--hi-10f9.run.tools
OAuth only if this server requires it.
Save, start a new chat, enable the connector.
Developer mode custom connector. ChatGPT cannot reach localhost.
Settings → Apps & Connectors → Advanced → Developer mode ON
Create custom connector
Name: Vetted Consumer
MCP server URL: https://vetted-consumer--hi-10f9.run.tools
Auth: none unless the server requires OAuth
New chat → + → Developer mode → enable the connector
Register the HTTPS URL, then claude mcp list.
claude mcp add --transport http hi-10f9-vetted-consumer \
https://vetted-consumer--hi-10f9.run.tools
Pass on session/new as mcpServers when the agent advertised HTTP MCP.
[
{
"type": "http",
"name": "hi-10f9-vetted-consumer",
"url": "https://vetted-consumer--hi-10f9.run.tools"
}
]
Paste into a README or docs site. The widget loads snippets from Influzer — still not a SAFE badge.
Same handshake clock as this listing (overlay / warm / seed; live tools/list only if that is missing). Indigo is live_ok, amber is auth_required, gray is unreachable. Not a SAFE badge. Stdio listings have no badge.
[](https://www.influzer.ai/mcp/probe?url=https%3A%2F%2Fvetted-consumer--hi-10f9.run.tools)
<div data-influzer-install="hi-10f9-vetted-consumer"></div>
<script async src="https://www.influzer.ai/embed/install.js"></script>
https://www.influzer.ai/embed/mcp/hi-10f9-vetted-consumer.md
JSON: https://www.influzer.ai/api/v1/install/hi-10f9-vetted-consumer
Recipes using this server
No published recipes yet for this server.
Listing quality
Observable facts from our catalog and daily probe — not a safe-to-install badge.
- Surface
- Ready surface
- Live handshake
- Auth required
- Auth gate
- Auth gate
- Tools source
- tools/list (live)
Observable catalog + probe facts — not a safe-to-install badge.
Tools
(9)-
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.
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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.
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cheapest_hardware_for_modelThe cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context.
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list_modelsList the local LLM model classes the tools know about (params, dense/MoE, native context).
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list_hardwareList the machines the tools know about (memory, bandwidth, price, buy link).
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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/.
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recommend_hardwareRanked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap.
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get_used_gpu_pricesCurrent typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly).
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compare_hardwareSide-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines.
Tool source: tools/list (live) · last probed 2026-10-14