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Alternatives to jef-mcp

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI coding agents to make fast, zero-output-token decisions by evaluating context, diffs, logs, or options through the OpenRouter Decisions API using TypeSafe Jev, returning calibrated probabilities for binary, categorical, or scoring questions.
      1
      136 npm
      2
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    • A
      license
      A
      quality
      A
      maintenance
      Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables natural-language interaction with TypeSafe's Jev decision API, supporting mixed question calls, batch evaluation, model listing, and confidence or composite-score gates over stdio.
      6
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables frontier coding agents to delegate routine probabilistic judgments to TypeSafe Jev, providing calibrated triage signals for failures, attempts, completion, context ranking, findings, risk, and generic evidence-grounded questions.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that wraps the StupidAPIs' 'The Committee' tool, which convenes five random number generators to argue and vote with one always dissenting.
      4 npm
      MIT

    TDQS

    A4.4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool produces a distinctly different output type: binary yes/no, a single pick with probabilities, a numeric score, an ordering, and a categorical flag. The descriptions explicitly map use cases to each response shape, so an agent should not confuse them.

    Naming Consistency4/5

    All names share the jef_ prefix and use lowercase snake_case, which is consistent. The only slight deviation is jef_yes_no being named after its output while the others are verb-like commands (pick, score, rank, flag), but this is a minor inconsistency.

    Tool Count5/5

    Five tools is a well-scoped size for a subjective-decision helper server. Each tool covers a different way a user might want an opinion, and none feel redundant or unnecessary.

    Completeness5/5

    The tool surface covers the main decision output types an agent would need: binary choices, selection among options, numerical ratings, ordering, and categorical verdicts. There are no obvious dead ends or missing operations for the stated purpose.