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ai-governance-controls

ai-governance-controls

by cody-aigov
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    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

    A3.6/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct governance activity: red teaming, risk classification, and safety screening. No overlap in purpose, making them easily distinguishable for an agent.

    Naming Consistency4/5

    All tools use snake_case with 'ai_' prefix and a descriptive term + action. 'ai_red_team' slightly deviates as noun-noun versus verb-noun in others, but the pattern is mostly consistent.

    Tool Count3/5

    Three tools cover core governance areas but feel minimal for a comprehensive governance suite. The count is acceptable for a focused server but borderline low for broader coverage.

    Completeness2/5

    Only three of many possible AI governance controls are implemented (e.g., missing bias, privacy, explainability). Moreover, tools return analysis frameworks rather than performing actual analysis, leaving significant gaps.

    Maintenance

    ActivitySlowing
    ResponsivenessSyncing

    Resources