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mcp-csu

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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

    A4/5.0

    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