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Catalog › io.github.aikuba/llmconfigurator

Is LLM Configurator reliable?

Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "llmconfigurator": {
      "url": "https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.aikuba/llmconfigurator"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

No measurement yet.

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Similar tools

FitLLM Not measured yet

Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.

MCP endpoint : https://fitllm.run/api/mcp · website · measurements and details
Nodegrove VRAM: can I run it? Not measured yet

Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.

MCP endpoint : https://mcp.nodegrove.io/mcp · website · measurements and details
TokenSqueezer LLM Token Compressor Not measured yet

x402-gated LLM token compressor: strip filler, collapse JSON, densify prose. Paid in USDC.

Package npm : @nodeproxy/tokensqueezer · website · measurements and details
Token Diet Not measured yet

LLM token optimization gateway implementing semantic pruning.

MCP endpoint : https://token-diet-mcp.vercel.app/api/mcp · measurements and details
ChimeraForge Not measured yet

Local-first LLM deployment planner: GPU/VRAM sizing, cost and latency, with provenance

Package pypi : chimeraforge · website · measurements and details
Publisher of LLM Configurator?

Show your measured reliability on your README or website:

Faceabot reliability badge for LLM Configurator

[![Measured by Faceabot](https://faceabot.com/badge/io.github.aikuba/llmconfigurator.svg)](https://faceabot.com/tools/io.github.aikuba/llmconfigurator)
Data in JSON: /api/catalog?id=io.github.aikuba/llmconfigurator · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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