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chungsubeen0

Jev MCP

by chungsubeen0
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    • jev-mcp

      minhgv
      A
      license
      A
      quality
      C
      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

    • jev-mcp

      rashedInt32
      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

    • jev-mcp

      arunav25
      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

    • jev-mcp

      jkudish
      A
      license
      A
      quality
      B
      maintenance
      Enables agents to verify claims against cited evidence, screen content for prompt injection and relevance before reading it, and rank candidates by meaning, all with calibrated probability verdicts.
      3
      45
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool targets a distinct stage in a review/diagnosis workflow: change risk, failure triage, attempt comparison, completion checks, context ranking, findings classification, and generic judgment. A few tools share the same cheap-likelihood framing, but their input types and intended uses are clearly differentiated.

    Naming Consistency5/5

    All tools follow the consistent jev_ prefix with a verb_noun pattern (assess_risk, triage_failure, compare_attempts, check_completion, rank_context, classify_findings, judge). There is no mixed casing or stylistic drift.

    Tool Count5/5

    Seven tools is well-scoped for a probabilistic triage suite, with each tool earning its place as a distinct decision-support primitive. The count is neither too thin nor overloaded.

    Completeness5/5

    For the stated domain of cheap probabilistic triage, the set covers the major pre-review decision points and even provides a generic judge fallback for arbitrary yes/no propositions. Potential gaps like diagnosing or fixing are intentionally excluded rather than left as dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources