Catalog › io.github.arose26/gguf-mcp
Is gguf-mcp reliable?
Not measured yet gguf-mcp runs locally (installed package), so Faceabot cannot measure it over the network.
En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
Inspect local GGUF/safetensors models: quantization, params, VRAM fit — headers only.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.1 · publisher website{
"mcpServers": {
"gguf-mcp": {
"command": "npx",
"args": [
"-y",
"gguf-mcp"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.arose26/gguf-mcp"} on https://faceabot.com/api/mcp. — Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .
{}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.No measurement yet.
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
Scans ML model files (PyTorch, safetensors, Keras, ONNX) for supply-chain risks
Package npm :@guardbee/mcp-model-scanner · website · measurements and detailsManage your Onde Inference account and models: apps, model catalog, fine-tuned GGUF deploys.
Package npm :@ondeinference/cli · website · measurements and detailsCan 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 detailsModel intelligence for AI agents — syntax, params, pricing for 67+ generative AI models.
Package npm :@promptibus/mcp · website · measurements and detailsRead-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 detailsShow your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.arose26/gguf-mcp)Data in JSON: /api/catalog?id=io.github.arose26/gguf-mcp · Stop probes:
POST /api/reliability/opt-outAI 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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