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Alternatives to Jev MCP Server

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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
      32 npm
      3
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude Code agents to perform structured decision-making through TypeSafe Jev, supporting yes/no checks, route selection, scoring, and batched multi-question judgments with confidence values.
      1
      -
    • 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
      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
      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
      10 npm
      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
      9 npm
      MIT

    TDQS

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct decision primitive: boolean evaluation, single-choice classification, hierarchical scoring, and batch processing. The batch tool clearly aggregates the other three rather than competing with them, so there is no meaningful selection ambiguity.

    Naming Consistency5/5

    All tool names share a consistent 'jev_' prefix followed by a lowercase noun or noun phrase, using snake_case throughout. The naming convention is uniform and predictable across the entire set.

    Tool Count5/5

    Four tools is well-scoped for a decision-primitive server: three core evaluation types plus one batching convenience tool. Every tool earns its place without redundancy or bloat.

    Completeness5/5

    The tool surface covers the full stated domain of Jev decision primitives: boolean verification, option selection, hierarchical scoring, and concurrent batch evaluation. There are no obvious missing operations for this specialized purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues