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OjasKord

Data Compliance Classifier MCP

by OjasKord

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      Enables sanitizing PII from text, classifying data into sovereignty zones, and monitoring compliance scores to keep sensitive information out of AI outputs.
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      Enables AI agents to scan, redact, and govern sensitive data before sending it to external tools through DLP, secure chat, and shadow AI discovery tools.
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      1
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    TDQS

    A4.6/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: validate_data_safety performs full AI classification, get_safety_report provides detailed compliance reports for flagged payloads, and validate_data_safety_lite offers fast pattern-only pre-screening. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tool names use a consistent verb_noun pattern in snake_case (validate_data_safety, get_safety_report, validate_data_safety_lite). The 'lite' suffix is a clear modifier that maintains consistency.

    Tool Count4/5

    Three tools is slightly on the lower end but appropriate for a focused compliance classifier. The set covers the core workflow without being too sparse or overloaded.

    Completeness4/5

    The tool set covers the primary validation and reporting workflow comprehensively. Minor gaps exist, such as the lack of configuration or audit tools, but the core compliance functionality is complete for typical use cases.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues