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Alternatives to openjev-mcp

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    • A
      license
      A
      quality
      C
      maintenance
      Enables agents to query the TypeSafe Jev decision model for typed answers—yes/no, choice, and score questions—with calibrated probabilities, batched in a single request under a local context-budget guard.
      6
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables structured, rubric-based evaluation of text or structured state using TypeSafe AI's Jev System One API, supporting yes/no, single-choice, and rubric-scored questions in parallel.
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables agents to ask TypeSafe AI's Jev decision model typed questions — choices, scores, true/false propositions, and image bounding boxes — about a text or JSON state, returning structured answers with calibrated probabilities and confidence instead of free-form prose. Supports images, multi-question batch calls, and long-context requests over stdio.
      6
      129 npm
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to obtain typed judgments from TypeSafe's Jev System One models, including yes/no probabilities, multiple-choice selections with distributions, and rubric-based scores, directly usable in code.
      5
      2
      AGPL 3.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI coding agents to offload yes/no, multiple-choice, and scoring questions to TypeSafe's Jev, returning compact confidence-scored answers to save tokens and improve speed.
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables coding or reasoning agents to request structured judgments from TypeSafe's Jev model at decision points, including choices, scores, claim verification, and code reviews, with probabilities and confidence returned as data.
      5
      15 npm
      MIT

    TDQS

    A4.6/5.0

    Scored across 5 tools

    Disambiguation4/5

    Tool purposes are largely distinct: jev_choice, jev_score, and jev_noul target specific judgment types, while jev_batch handles multiple items. However, jev_ask can also handle multiple questions of various types, creating some overlap with the single-type tools, though the descriptions guide usage.

    Naming Consistency5/5

    All tools use the 'jev_' prefix followed by a type or action (ask, choice, score, noul, batch) in consistent snake_case. The pattern is predictable and easy to parse.

    Tool Count5/5

    Five tools is an appropriate number for this domain, covering general, specific, and batch judgment queries without redundancy or excessive fragmentation.

    Completeness5/5

    The surface covers single and multi-question requests, all three judgment types (choice, score, noul), and batch processing. No obvious gaps in the core functionality.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues