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Alternatives to jev-mcp

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    Related Servers

    • A
      license
      A
      quality
      C
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      Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.
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    • A
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      A
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      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
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    • A
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      A
      quality
      B
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      Enables agents to validate data safety before storing, transmitting, or logging data, preventing GDPR/HIPAA/PCI-DSS violations with clear verdicts like SAFE_TO_PROCESS, REDACT_BEFORE_PASSING, DO_NOT_STORE, or ESCALATE.
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    • A
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      quality
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      Classifies text into structured semantic units with authority, risk, and attention scores. Enables deterministic preprocessing for AI agents to filter and route content without using an LLM.
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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to score their outgoing responses against groundedness and prompt-injection risks mid-turn, returning allow, warn, or block verdicts before the response reaches the user.
      9 npm
      -

    TDQS

    A3.8/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool maps to a distinct judgment mode: open typed judgment, closed-list classification, ordered scoring, yes/no checking, candidate matching, text screening, and health inspection. The generic jev_ask could broadly overlap with the more specific modes, but the descriptions clarify when each should be used.

    Naming Consistency5/5

    All tools share the consistent jev_ prefix and use short lowercase names matching their action or purpose. The naming convention is uniform and predictable across the entire set.

    Tool Count5/5

    Seven tools is a well-scoped set for a single Jev judgment API. Each tool covers a distinct operation without redundancy, and the count feels neither thin nor bloated.

    Completeness5/5

    The tool surface covers the core judgment types Jev appears to support: ask, classify, score, check, match, and screen, plus health for configuration introspection. The repeated exclusions of text generation and numeric extraction indicate those are intentionally out of scope rather than missing.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues