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Is Algernon MCP reliable?

Not measured yet Algernon 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.

What it does

Fan a goal out to cheap parallel LLM workers on your own key or a free local Ollama. Keep your mind.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.1 · publisher website
Connect your agent
{
  "mcpServers": {
    "algernon": {
      "command": "uvx",
      "args": [
        "algernon-mcp"
      ]
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.sammyboi81/algernon"} 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.

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Package pypi : arkhive-mcp · website · measurements and details
sentarion Not measured yet

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Package pypi : sentarion-mcp · measurements and details

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Publisher of Algernon MCP?

Show your measured reliability on your README or website:

Faceabot reliability badge for Algernon MCP

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