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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

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

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

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

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

{
  "mcpServers": {
    "vetted-consumer": {
      "type": "http",
      "url": "https://vettedconsumer.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=vetted-consumer&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vdmV0dGVkY29uc3VtZXIuY29tL21jcCJ9"
}

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

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

extensions:
  "vetted-consumer":
    enabled: true
    name: "vetted-consumer"
    type: streamable_http
    uri: "https://vettedconsumer.com/mcp"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: list_models (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); can_i_run_it (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_hardware (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 1,795 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

9 tools, about 1,795 tokens to load them all · tool set a37be698211e · checked 2026-10-20 19:10 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 72 / 100

no-repository

provenance45

liveness98

freshness65

hygiene80

+website +reachable +uptime-96% ~updated-120d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://vettedconsumer.com/mcp` streamable-http	none	yes	96%	262 ms	2025-11-25	2026-10-20

Tools (9)

`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.
`cheapest_hardware_for_model`	The cheapest catalogued, buyable machine that runs a given model at Q4 with the requested context.
`compare_hardware`	Side-by-side memory, bandwidth, price, and (with a model) fit + tok/s for 2 to 4 machines.
`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/.
`get_used_gpu_prices`	Current typical used-GPU prices for local-AI rigs (eBay Browse API median asking + hand-verified, monthly).
`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.
`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.

Schemas: list_tools.

Similar MCP servers

More from io.github.TheBaronofAI

Official server.json

{
  "name": "io.github.TheBaronofAI/vetted-consumer",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
  "remotes": [
    {
      "url": "https://vettedconsumer.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "websiteUrl": "https://vettedconsumer.com",
  "description": "Will a local LLM run on your hardware? GGUF quant, buy-vs-rent-vs-API cost, used-GPU prices."
}