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mcp-csu

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    Deploy Server
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    TDQS

    A4/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of the CSU data workflow: discovery, metadata, dimension exploration, and data retrieval. Even the three query tools (get_value, get_selection_data, custom_query) are clearly differentiated by use-case guidance, making selection unambiguous.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern using snake_case (e.g., get_dataset, list_datasets, search_selections). The one outlier, custom_query, still adheres to the same pattern, so naming is uniform and predictable.

    Tool Count5/5

    With 12 tools covering search, listing, metadata, dimension exploration, and multiple query methods, the set is well-scoped for the CSU domain. No tools feel redundant or missing for core operations.

    Completeness5/5

    The tools provide end-to-end coverage: dataset discovery (list/search), structure exploration (get_dataset, get_dimension_items, get_indicator), and data retrieval (predefined selections, custom queries, single values). No obvious gaps exist in the statistical data access lifecycle.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources