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Alternatives to jev-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to fact-check claims, conduct verified research, make typed decisions with calibrated probabilities, and scan token risks through a hosted server with no API key required.
      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
      467 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables LLMs and agents to verify multi-hop relational claims before asserting them, using zero-token relation-algebra proofs with precision guarantees. It supports opt-in calibration guards for entity normalization and relation transitivity.
      83 PyPI
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables typed, calibrated judgment calls through classify, score, check, and batched ask tools, each returning full probability distributions for programmatic decisions.
      5
      467 npm
      7
      MIT

    TDQS

    A4.3/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool has a clearly distinct input/output contract (e.g., verify vs. noul vs. audit vs. compare), and descriptions explicitly cross-reference when to use alternatives (gate vs. review, find vs. rerank). Overlaps are mitigated rather than ambiguous.

    Naming Consistency4/5

    All tools use consistent snake_case with the jev_ prefix, but jev_noul deviates from the otherwise uniform verb-based operation naming (verify, gate, screen, find, etc.), a minor inconsistency.

    Tool Count5/5

    12 tools sit well within the 3-15 range and each maps to a distinct reasoning primitive (verification, screening, retrieval, classification, decision, review, etc.), so none feels redundant.

    Completeness5/5

    The surface covers a full cognitive toolchain: input screening, extraction, auditing, verification, comparison, retrieval/find/rerank, classification, decision, patch review, and gated completion. No obvious lifecycle gap for the stated Jev reasoning domain.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive