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Alternatives to clef-mcp

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Exposes a single decide tool that sends caller-supplied choice, score, noul, and box questions to any System One typed-decision endpoint, returning structured answers, probabilities, and confidence. It tolerates responses that omit usage.output_tokens, so providers such as Bailian's decision-model-preview work instead of failing with INVALID_RESPONSE.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables structured yes/no, multiple-choice, and ordered-score judgments from supplied text and criteria, returning typed probabilities, selected labels, scores, and confidence. It exposes bounded decision tools without search, chat generation, arbitrary HTTP requests, or action execution.
      234 npm
      MIT
    • 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
      23 npm
      3
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables coding agents to request calibrated probability judgments over typed questions—yes/no, named choices, or ordered scores—about a described situation, returning one probability per option rather than free text. Runs Cloudflare's Clef model locally on Apple Silicon Macs, with images or video frames optionally attached, and answers delivered as a single MCP tool call.
      1
      83 PyPI
      MIT

    TDQS

    A4.4/5.0

    Scored across 1 tool

    Disambiguation5/5

    There is only one tool, so there is nothing to confuse it with. Within the tool, the three question types (choice, noul, score) are clearly delineated with distinct criteria and answer shapes, so an agent can select the right mode without ambiguity.

    Naming Consistency5/5

    A single, clear verb name ('decide') that accurately reflects the operation. There are no competing conventions to clash, and the naming reads naturally for the domain.

    Tool Count3/5

    The server exposes exactly one tool, which is thin by the usual 3-15 guidance, though it is a genuinely single-capability wrapper around a decision model and the batch 'questions' parameter absorbs what would otherwise be many tools. It is borderline rather than mismatched, since no second capability obviously belongs here.

    Completeness4/5

    The tool covers the core decision surface well: batch questions, three answer modes, optional images, and probability outputs for thresholding. Minor gaps remain, such as model discovery/selection, health or capability introspection, and any guidance on limits or failure modes, which an agent would have to work around.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues