INDIVIDUAL MCP TOOL

cheapest_hardware_for_model

The cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context.

vettedconsumer.comnone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.vetted-consumer]
url = "https://vettedconsumer.com/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: vetted-consumer
Remote MCP URL: https://vettedconsumer.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "vetted-consumer": {
      "type": "http",
      "url": "https://vettedconsumer.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "vetted-consumer",
  "transport": "streamable-http",
  "url": "https://vettedconsumer.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

can_i_run_it — Will a given local LLM run on given hardware?
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.
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.
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.