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Is lm reliable?

Not measured yet lm runs locally (installed package), so Faceabot cannot measure it over the network.

Not checked yet · local package

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

What it does

Connect Claude to any OpenAI-compatible LLM endpoint and offload routine work to a local model.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 3.3.4 · publisher website
Connect your agent
{
  "mcpServers": {
    "lm": {
      "command": "npx",
      "args": [
        "-y",
        "@houtini/lm"
      ]
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.houtini-ai/lm"} on https://faceabot.com/api/mcp.
Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
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.

More from the same publisher

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fmp Not measured yet

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Package npm : @houtini/fmp-mcp · website · measurements and details
gemini Not measured yet

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Package npm : @houtini/gemini-mcp · website · measurements and details
geo-analyzer Not measured yet

Scores content on the signals that get it cited by ChatGPT, Perplexity and AI Overviews

Package npm : @houtini/geo-analyzer · website · measurements and details

Find tools similar to lm →

Publisher of lm?

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