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Bias Detection MCP

by CSOAI-ORG
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Python

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    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

    A4.2/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a distinct purpose: detect_bias for text analysis, fairness_metrics for prediction data, mitigation_recommendations for remediation steps, quick_scan for instant assessment, and regulatory_check for compliance. No overlap; agents can easily differentiate.

    Naming Consistency4/5

    All names use snake_case and follow a descriptive prefix + noun pattern. However, detect_bias uses a verb (detect) while others use adjectives (fairness, mitigation, quick, regulatory), creating a minor inconsistency.

    Tool Count5/5

    With 5 tools covering analysis, metrics, recommendations, quick assessment, and regulatory checks, the set is well-scoped and manageable, neither too sparse nor too heavy for the domain.

    Completeness4/5

    The tools cover core bias detection workflows: text analysis, tabular metrics, remediation, and regulatory checks. Missing are features like reporting or multi-modal support, but these are not critical for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessSlow

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