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Related Servers

Alternatives to mcp_jev

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agent skills to route state-evaluation requests to TypeSafe AI's Jev System One model, supporting typed questions, choice classification, binary probabilities, and rubric scoring with calibrated confidence.
      4
      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
      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
      A
      maintenance
      Enables prototyping, running, and evaluating typed judgment questions against TypeSafe's Jev model, including accuracy, calibration, and threshold analysis.
      3
      1
      MIT
    • 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

    TDQS

    A4.4/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a distinct role: listing packs, describing a pack, running a pack, running custom questions, and health checking. The only potential confusion is between run_pack and run_questions since both invoke the same TypeSafe System One path, but their descriptions clearly separate pack-based from custom typed workflows.

    Naming Consistency4/5

    Most tools follow a clear verb_noun pattern: list_packs, run_questions, describe_pack, run_pack. The one outlier is the one-word health tool 'ping', which breaks the pattern but is a common and recognizable convention.

    Tool Count5/5

    Five tools is a well-scoped size for a focused server that handles pack listing, description, execution, custom question runs, and health checks. Each tool has a clear purpose and none feel redundant.

    Completeness5/5

    The server covers the full intended workflow: discover packs via list_packs, understand via describe_pack, execute via run_pack, handle non-pack cases via run_questions, and verify health via ping. Since the pack catalog is closed and free-form ask is intentionally excluded, there are no significant gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive