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Alternatives to jev-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives any coding agent a shared local decision layer for classifying, checking, scoring, and ranking items with calibrated probabilities, plus deterministic project fact discovery, all through one install. Every answer is advisory and marked auto or review, so the host agent can abstain or escalate instead of guessing.
      2
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables coding agents to make offline, zero-cost decisions using schema-safe Choice/Score/Noul primitives, a confidence gatekeeper, planning, adversarial red-teaming, research, and RLVR-based self-improvement via 21 MCP tools.
      24
      3
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables coding agents to query files, logs, and search results through TypeSafe Jev's typed, probabilistic answers, so they retrieve only the needed conclusion instead of raw context. Supports classification, scoring, yes/no checks, extraction, page ranking, and injection screening.
      11
      470 npm
      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

    TDQS

    A4/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each recipe targets a distinct decision point (loop control, diff review, claim verification, text screening, candidate ranking), and `jev_evaluate` is explicitly scoped as an escape hatch rather than a competing operation. There is only a mild risk that agents reach for the generic evaluate tool instead of the specialized recipes.

    Naming Consistency4/5

    All tools share the lowercase `jev_` prefix and use underscores, which gives the set a clear visual pattern. However, the names mix imperative verbs (`review`, `verify`, `screen`, `rank`, `evaluate`) with one noun-style name (`coding_loop`), a minor consistency deviation.

    Tool Count5/5

    Six tools is a well-scoped size for a decision-support server. Each tool fills a distinct role with no apparent bloat or redundant utility.

    Completeness5/5

    The tool surface covers the major agent workflow decision points: whether to continue, whether to apply a diff, whether claims hold up, whether text is safe to read, and which candidates best match a query. The generic `jev_evaluate` fallback plus usage/action outputs prevents obvious dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues