io.github.TheBaronofAI/vetted-consumer is a remote MCP server that gives an AI agent 9 tools, among them can_i_run_it, cheapest_hardware_for_model, compare_hardware. It answers at https://vettedconsumer.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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. Inputs: model, total_b, active_b, mxfp4, hardware, vram_gb |
cheapest_hardware_for_model | The cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context. Inputs: model, total_b, active_b, mxfp4, context |
compare_hardware | Side-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines. Inputs: hardware, model, total_b, active_b, mxfp4, context |
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/. Inputs: hardware, price_usd, tdp_w, hours, tokens, kwh |
get_used_gpu_prices | Current typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly). Inputs: gpu |
list_hardware | List the machines the tools know about (memory, bandwidth, price, buy link). |
list_models | List the local LLM model classes the tools know about (params, dense/MoE, native context). |
recommend_hardware | Ranked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap. Inputs: model, total_b, active_b, mxfp4, context, kv_precision |
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. Inputs: model, total_b, active_b, mxfp4, hardware, vram_gb |
Every block below points at https://vettedconsumer.com/mcp. Pick your client and copy.
claude mcp add --transport http io-github-thebaronofai-vetted-co https://vettedconsumer.com/mcp
{
"mcpServers": {
"io-github-thebaronofai-vetted-co": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://vettedconsumer.com/mcp"]
}
}
}{
"mcpServers": {
"io-github-thebaronofai-vetted-co": {
"url": "https://vettedconsumer.com/mcp"
}
}
}{
"servers": {
"io-github-thebaronofai-vetted-co": {
"type": "http",
"url": "https://vettedconsumer.com/mcp"
}
}
}{
"context_servers": {
"io-github-thebaronofai-vetted-co": {
"url": "https://vettedconsumer.com/mcp"
}
}
}{
"mcpServers": {
"io-github-thebaronofai-vetted-co": {
"serverUrl": "https://vettedconsumer.com/mcp"
}
}
}{
"mcpServers": {
"io-github-thebaronofai-vetted-co": {
"url": "https://vettedconsumer.com/mcp"
}
}
}name: io.github.TheBaronofAI/vetted-consumer
version: 0.0.1
schema: v1
mcpServers:
- name: io.github.TheBaronofAI/vetted-consumer
type: streamable-http
url: https://vettedconsumer.com/mcp{
"mcpServers": {
"io-github-thebaronofai-vetted-co": {
"httpUrl": "https://vettedconsumer.com/mcp"
}
}
}{
"mcpServers": {
"io-github-thebaronofai-vetted-co": {
"type": "http",
"url": "https://vettedconsumer.com/mcp"
}
}
}{
"mcpServers": {
"io-github-thebaronofai-vetted-co": {
"url": "https://vettedconsumer.com/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fvettedconsumer.com%2Fmcp&type=streamable_http&id=io-github-thebaronofai-vetted-co&name=io.github.TheBaronofAI/vetted-consumer
It answered our last check on 18 October 2026 in 503 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
9, as returned by the server's own tools/list on 31 August 2026: can_i_run_it, cheapest_hardware_for_model, compare_hardware, cost_compare, get_used_gpu_prices, list_hardware, list_models, recommend_hardware, and 1 more.
It answered our last check on 18 October 2026 in 503 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://vettedconsumer.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.thebaronofai. Endpoint host: vettedconsumer.com. ARD identifier: urn:air:io.github.thebaronofai:mcp:vetted-consumer.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.