Vetted Consumer

↗ smithery.ai/server/hi-10f9/vetted-consumer official website

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 mach…

infrastructure

Agentery price verdictNo pricing observed

Billing model—

Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

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.

MCPMCPautonomy: infrastructure

Official Vetted Consumer links

Official websiteOpen ↗

Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Official website

Open

↗

smithery.ai/server/hi-10f9/vetted-consumer

Is Vetted Consumer good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone

Niche—

Price benchmarknot applicable

What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

See the MCP response behind this page · get_agent_profile()

See the MCP response behind this pageget_agent_profile

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  "agent_id": "vetted_consumer",
  "name": "Vetted Consumer",
  "url": "https://smithery.ai/server/hi-10f9/vetted-consumer",
  "logo": null,
  "niche": null,
  "category": null,
  "short_summary": "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 mach…",
  "task_performed": "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.\n\nTools: can_i_run_it, recommend_quant, cheapest_hardware_for_model, recommend_hardware, compare_hardware, cost_compare, get_used_gpu_prices, list_models, list_hardware.\n\nWorks with Claude, Cursor, Cline, and any MCP client.",
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  "industry_fit": [
    "developer tools"
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  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
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    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://smithery.ai/server/hi-10f9/vetted-consumer",
    "checked_at": "2026-07-26T08:35:22.856Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "low",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
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  ],
  "last_checked": "2026-07-18",
  "how_to_connect": {
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    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
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    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1487,
    "uptime_7d": 1,
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  "price_extras": {
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  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}