eurostat-mcp-suite
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TDQS
Scored across 12 tools
Each tool targets a distinct phase of the Eurostat workflow: discovery, metadata inspection, data querying, SQL staging, and export. Even query_dataset and sql_query are clearly separated—one queries the Eurostat API, the other queries staged DuckDB tables.
Most tools follow a verb-first snake_case pattern (get_, search_, browse_, list_, download_, export_), but sql_query breaks the pattern (noun-led) and export_to_csv vs export_multiple_datasets have inconsistent phrasing. Overall still readable and predictable.
With 12 tools, the server is well-scoped for Eurostat data access, covering discovery, metadata, querying, DL staging, SQL analysis, and export without ballooning in size. Each tool serves a clear purpose in the pipeline.
The tool surface covers the full Eurostat data lifecycle: find datasets, inspect dimensions, query data, stage to SQL, run SQL, and export. Minor gaps include no way to drop staged tables or list all datasets within a theme, but these are not critical for typical use.