eurostat-mcp
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TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose: search_indicators for finding indicators, list_zones for geographic zones, get_indicators for cross-source indicator values, search_datasets for dataset catalog search, get_structure for dataset dimensions, list_codes for browsing dimension codes, and query_data for raw dataset queries. No two tools overlap in function, and the descriptions explicitly guide the intended workflow.
All tools follow a consistent verb_noun snake_case pattern: search_indicators, list_zones, get_indicators, search_datasets, get_structure, list_codes, query_data. The verbs (search, list, get, query) and nouns are distinct and meaningful, with no mixed conventions or abbreviations.
With 7 tools, the set is well-scoped for a Eurostat MCP server. It covers two clear workflows (indicator-based territorial analysis and raw dataset exploration) without excessive overlap or unnecessary additions. The count is ideal for the described functionality.
The tools cover the full lifecycle for both workflows: searching for indicators/datasets, exploring structure (zones, dimensions, codes), and retrieving data (indicators or raw queries). No obvious gaps exist; the separation between get_indicators and query_data is clearly explained, and helper tools (list_codes) fill potential needs.