# io.github.TheBaronofAI/vetted-consumer (remote · vettedconsumer.com)

Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices.

- Trust score: 65/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `vettedconsumer.com`: 65/100 (this document), [markdown](https://verifymcp.io/servers/thebaronofai-vetted-consumer/vettedconsumer.md), [page](https://verifymcp.io/servers/thebaronofai-vetted-consumer/vettedconsumer)

## Channel facts

- Endpoint: `https://vettedconsumer.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 9 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 68/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1465 tokens (~162/item across 9 items; 9 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http thebaronofai-vetted-consumer https://vettedconsumer.com/mcp
```

### Codex

```toml
[mcp_servers.thebaronofai-vetted-consumer]
url = "https://vettedconsumer.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "thebaronofai-vetted-consumer": {
      "type": "remote",
      "url": "https://vettedconsumer.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add thebaronofai-vetted-consumer --url https://vettedconsumer.com/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  thebaronofai-vetted-consumer:
    url: "https://vettedconsumer.com/mcp"
```

### Other

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

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 64, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 64, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-28 (score 63, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 62, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 61)

First indexed and scored.

## MCP tools (9)

### `can_i_run_it` (~294 tokens)

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.

Input parameters:

- `active_b` (number): For an unlisted model: active params in billions (= total for dense, less for MoE)
- `bandwidth_gbps` (number): For custom hardware: memory bandwidth in GB/s
- `context` (number): Context window in tokens (default 8192)
- `hardware` (string): Hardware name/id, e.g. 'rtx-3090', 'Mac 128GB', 'Strix Halo'. Use list_hardware to see known ones.
- `kv_precision` (string): KV cache precision (default f16)
- `model` (string): Model name, e.g. 'Llama 70B', 'gpt-oss-120B', 'Qwen 32B'. Use list_models to see known names.
- `mxfp4` (boolean): True if the model ships natively in MXFP4 (e.g. gpt-oss)
- `total_b` (number): For an unlisted model: total parameters in billions
- `unified` (boolean): True for unified-memory machines (Macs, Strix Halo, CPU+RAM)
- `vram_gb` (number): For custom hardware: VRAM or unified memory in GB

### `recommend_quant` (~294 tokens)

Recommend a 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.

Input parameters:

- `active_b` (number): For an unlisted model: active params in billions (= total for dense, less for MoE)
- `bandwidth_gbps` (number): For custom hardware: memory bandwidth in GB/s
- `context` (number): Context window in tokens (default 8192)
- `hardware` (string): Hardware name/id, e.g. 'rtx-3090', 'Mac 128GB', 'Strix Halo'. Use list_hardware to see known ones.
- `kv_precision` (string): KV cache precision (default f16)
- `model` (string): Model name, e.g. 'Llama 70B', 'gpt-oss-120B', 'Qwen 32B'. Use list_models to see known names.
- `mxfp4` (boolean): True if the model ships natively in MXFP4 (e.g. gpt-oss)
- `total_b` (number): For an unlisted model: total parameters in billions
- `unified` (boolean): True for unified-memory machines (Macs, Strix Halo, CPU+RAM)
- `vram_gb` (number): For custom hardware: VRAM or unified memory in GB

### `cheapest_hardware_for_model` (~165 tokens)

Cheapest hardware for a model

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

Input parameters:

- `active_b` (number): For an unlisted model: active params in billions (= total for dense, less for MoE)
- `context` (number): Context window in tokens (default 8192)
- `model` (string): Model name, e.g. 'Llama 70B', 'gpt-oss-120B', 'Qwen 32B'. Use list_models to see known names.
- `mxfp4` (boolean): True if the model ships natively in MXFP4 (e.g. gpt-oss)
- `total_b` (number): For an unlisted model: total parameters in billions

### `list_models` (~30 tokens)

List models

List the local LLM model classes the tools know about (params, dense/MoE, native context).

### `list_hardware` (~26 tokens)

List hardware

List the machines the tools know about (memory, bandwidth, price, buy link).

### `cost_compare` (~204 tokens)

Cost: buy vs rent vs API

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/.

Input parameters:

- `api` (number): API $/million tokens (default 1.0)
- `hardware` (string): Catalogued hardware name/id (see list_hardware), e.g. 'rtx-3090-used'
- `hours` (number): Active hours per day (default 3)
- `kwh` (number): Electricity $/kWh (default 0.16)
- `price_usd` (number): For custom hardware: price in USD
- `rent` (number): Cloud GPU $/hour (default 0.59)
- `tdp_w` (number): For custom hardware: board power draw in watts
- `tokens` (number): Tokens generated per day, for the API comparison (default 300000)

### `recommend_hardware` (~196 tokens)

Recommend hardware

Ranked list of catalogued, buyable machines that run a model at the requested context, cheapest first, with an optional budget cap.

Input parameters:

- `active_b` (number): For an unlisted model: active params in billions (= total for dense, less for MoE)
- `budget` (number): Optional max price in USD
- `context` (number): Context window in tokens (default 8192)
- `kv_precision` (string): KV cache precision (default f16)
- `model` (string): Model name, e.g. 'Llama 70B', 'gpt-oss-120B', 'Qwen 32B'. Use list_models to see known names.
- `mxfp4` (boolean): True if the model ships natively in MXFP4 (e.g. gpt-oss)
- `total_b` (number): For an unlisted model: total parameters in billions

### `get_used_gpu_prices` (~53 tokens)

Used GPU prices

Current typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly).

Input parameters:

- `gpu` (string): Optional name/id filter, e.g. "3090"

### `compare_hardware` (~203 tokens)

Compare hardware

Side-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines.

Input parameters:

- `active_b` (number): For an unlisted model: active params in billions (= total for dense, less for MoE)
- `context` (number): Context window in tokens (default 8192)
- `hardware` (string, required): 2 to 4 hardware names/ids, comma-separated
- `kv_precision` (string): KV cache precision (default f16)
- `model` (string): Model name, e.g. 'Llama 70B', 'gpt-oss-120B', 'Qwen 32B'. Use list_models to see known names.
- `mxfp4` (boolean): True if the model ships natively in MXFP4 (e.g. gpt-oss)
- `total_b` (number): For an unlisted model: total parameters in billions

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/thebaronofai-vetted-consumer/vettedconsumer#diagnostics

## Score history

- 2026-08-03: 65
- 2026-08-02: 65
- 2026-08-01: 64
- 2026-07-31: 64
- 2026-07-30: 64
- 2026-07-29: 63
- 2026-07-28: 63
- 2026-07-27: 62
- 2026-07-26: 61

## Links

- Remote endpoint: https://vettedconsumer.com/mcp
- Website: https://vettedconsumer.com/
- Changelog RSS feed: https://verifymcp.io/servers/thebaronofai-vetted-consumer/vettedconsumer/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/thebaronofai-vetted-consumer/vettedconsumer/changelog.json
- HTML version of this page: https://verifymcp.io/servers/thebaronofai-vetted-consumer/vettedconsumer