Catalog › io.github.Daichi-Kudo/llm-advisor
Is llm-advisor reliable?
Not measured yet llm-advisor 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.
Real-time LLM/VLM benchmarks, pricing, and recommendations. 300+ models, 5 sources.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.4.5 · publisher website{
"mcpServers": {
"llm-advisor": {
"command": "npx",
"args": [
"-y",
"llm-advisor-mcp"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Daichi-Kudo/llm-advisor"} 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.Find tools similar to llm-advisor →
Show your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.Daichi-Kudo/llm-advisor)Data in JSON: /api/catalog?id=io.github.Daichi-Kudo/llm-advisor · Stop probes:
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