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statline-mcp

by pascal-cbs
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Python
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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

    A4.2/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct stage of the CBS data workflow: cache refresh, catalog search, table metadata, measure listing, dimension values, and data querying. Although several tools take a table_id, their purposes are clearly separated by descriptions and expected outputs.

    Naming Consistency5/5

    All tool names use snake_case and follow a predictable verb_noun pattern: refresh_catalog, search_tables, get_table_info, get_table_measures, list_dimension_values, query_data. There is no mixing of conventions.

    Tool Count5/5

    Six tools cleanly cover the full read-only pipeline from dataset discovery to data retrieval. The count is well-scoped, with no redundant or missing steps for the server's apparent purpose.

    Completeness5/5

    The surface covers catalog refresh, search, table metadata, dimensions, measures, and data querying, which are the essential operations for CBS StatLine access. No obvious lifecycle gaps remain for a read-only statistical data server.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources