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Alternatives to jev-eval-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to call TypeSafe's JEV classifier and receive structured, typed judgments with probabilities for binary, choice, and scoring questions.
      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
      A
      quality
      C
      maintenance
      Enables typed, calibrated judgment calls through classify, score, check, and batched ask tools, each returning full probability distributions for programmatic decisions.
      5
      1
      MIT
    • 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
      B
      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.
      3
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides coding agents and CI with a typed decision layer that sends bounded state and questions to Jev, then returns deterministic actions for review, risk assessment, requirement checks, and verification.
      9
      MIT

    TDQS

    A4.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: jev_map judges items in a list, jev_eval evaluates question wordings against labeled data, and jev_ask runs questions to see answers. There is no overlap or ambiguity in their intended use cases.

    Naming Consistency5/5

    All tools share the 'jev_' prefix and use a consistent verb_noun pattern: map, eval, ask. The naming is predictable and clearly indicates the action each tool performs.

    Tool Count4/5

    With only 3 tools, the server is on the low end of the appropriate range, but each tool covers a distinct phase of the evaluation workflow (prototype, evaluate, triage). The count is reasonable for the narrow domain and does not feel artificially padded.

    Completeness4/5

    The tools cover the core lifecycle for question evaluation: jev_ask for prototyping, jev_eval for validating wording, and jev_map for applying judgments at scale. Minor gaps exist (e.g., no tool for managing question sets or exporting results), but these are not blocking for the primary workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive