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mcp-superset

by bintocher
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Python
Remote

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    • mcp-superset

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    • superset-mcp

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      An MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.
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    • Superset MCP Integration

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    • Superset MCP Server

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    • mcp-backend

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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

    A3.7/5.0

    Scored across 137 tools

    Disambiguation4/5

    The tools mostly have clear, distinct purposes (e.g., dashboard_list vs chart_list vs dataset_list). A few pairs could be confused, such as superset_sqllab_export_csv vs superset_sqllab_results or superset_chart_data vs superset_chart_get_data, but detailed descriptions mitigate ambiguity. Overall, each tool targets a specific object or action, though the sheer quantity makes selection challenging.

    Naming Consistency5/5

    Every tool follows the consistent pattern `superset_<object>_<action>` (e.g., dashboard_create, chart_update, dataset_delete). Exceptions like superset_get_menu or superset_get_current_user still use a verb-oriented convention. No mixed casing or inconsistent verb styles; the prefix `superset_` unifies the entire set.

    Tool Count1/5

    With 137 tools, this is far beyond the typical well-scoped server and exceeds even the 50+ threshold for an extreme mismatch. While Superset is a complex platform, exposing this many tools burdens the agent with excessive choice and likely includes many rarely-used operations. The count is inappropriate for efficient discovery and selection.

    Completeness5/5

    The tool surface covers comprehensive CRUD and lifecycle operations for all major Superset entities: dashboards, charts, databases, datasets, users, roles, RLS rules, tags, reports, annotations, and groups. It also includes import/export, bulk operations, permissions auditing, and SQL lab utilities. No obvious gaps prevent common workflows; the set is remarkably thorough.

    Maintenance

    ActivityMaintained
    ResponsivenessSlow

    Resources