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Cloudera Data Visualization MCP Server

by kevintalbert
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Python
Remote

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    TDQS

    B3.3/5.0

    Scored across 66 tools

    Disambiguation4/5

    Tools are mostly distinct, targeting different resources (connections, datasets, visuals, etc.). However, 'create_visual' and 'create_smart_visual' overlap in purpose, and 'query_dataapi' vs 'query_enhanced_data_api' could cause confusion. Also 'edit_user_profile' and 'update_user' have fuzzy boundaries.

    Naming Consistency4/5

    Most tools follow a clear 'verb_noun' pattern (e.g., 'list_connections', 'delete_visual'). However, there are minor inconsistencies like 'edit_user_profile' instead of 'update_user_profile', and 'get_gc_monitor' vs 'get_gc_stats' (mixed underscores). Overall, the pattern is largely consistent.

    Tool Count3/5

    With 66 tools, the server is quite heavy. While the toolset covers many administrative and data operations, the high count suggests some tools could be merged or removed without losing functionality. It's at the upper boundary of acceptable scope.

    Completeness4/5

    The toolset provides CRUD for most resources (connections, datasets, visuals, workspaces, users, groups, roles, segments). Notable gaps include lack of a tool to list all standalone chart visuals (only dashboards are listed) and no filter support for visuals. Export/import is limited to bulk migration. Overall, core workflows are covered.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources