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Catalog › io.nodegrove/vram-mcp

Is Nodegrove VRAM: can I run it? 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

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

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.1 · publisher website
Connect your agent
{
  "mcpServers": {
    "vram-mcp": {
      "url": "https://mcp.nodegrove.io/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.nodegrove/vram-mcp"} 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

LLM Configurator Not measured yet

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

MCP endpoint : https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp · website · measurements and details
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
MakerPortal compute Being measured · 100% over 1 checks

Deterministic engineering solvers: biquad filter design, room eigenmodes, LLM VRAM fit.

MCP endpoint : https://makerportal.ai/api/mcp · website · measurements and details
GPU Server Not measured yet

MCP server for GPU monitoring: nvidia-smi, VRAM, utilization, temperature

Package pypi : mcp-gpu-server · website · measurements and details
gguf-mcp Not measured yet

Inspect local GGUF/safetensors models: quantization, params, VRAM fit — headers only.

Package npm : gguf-mcp · website · measurements and details
Publisher of Nodegrove VRAM: can I run it??

Show your measured reliability on your README or website:

Faceabot reliability badge for Nodegrove VRAM: can I run it?

[![Measured by Faceabot](https://faceabot.com/badge/io.nodegrove/vram-mcp.svg)](https://faceabot.com/tools/io.nodegrove/vram-mcp)
Data in JSON: /api/catalog?id=io.nodegrove/vram-mcp · 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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