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statistik-austria-mcp

by DV155
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Python
Remote

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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

    A4.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    The three tools map cleanly to distinct stages: catalog search, dataset metadata, and dataset data retrieval. The JSON vs CSV tools are differentiated by description as metadata versus data, so an agent can choose without ambiguity.

    Naming Consistency5/5

    All names use lowercase snake_case and identify the dataset resource clearly. fetch_dataset_json and fetch_dataset_csv share a predictable pattern, while search_dataset follows the same verb_noun style.

    Tool Count5/5

    Three tools are well scoped for a focused statistics-catalog server: search, inspect metadata, and fetch data. Each has a clear role, with no redundant tools.

    Completeness4/5

    The core workflow is covered: find a dataset, inspect its dimensions and measures, then fetch filtered paginated data. Minor gaps remain around catalog browsing features or data validation, but the main lifecycle is usable.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources