Eurostat TAM MCP server
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TDQS
Scored across 5 tools
The first two tools, get_enterprise_counts and get_segment_counts, both fetch Eurostat counts by NACE codes, differing mainly in single-code vs. multi-code input, which could cause misselection. The other tools are clearly distinct by data source (Cognism, Harmonic) or role (orchestration), but the overlap between the Eurostat pair is notable.
Four tools follow a 'get_' + noun pattern, but fill_tam_sheet breaks the pattern with a different verb. There is also inconsistency between singular 'count' (get_company_count) and plural 'counts' (get_enterprise_counts, get_segment_counts, get_startup_scaleup_counts), which is minor but detracts from a uniform style.
With just 5 tools, the server is tightly scoped to the task of populating a TAM sheet from multiple data sources. Each tool has a clear role, and the count feels neither bloated nor inadequate for the stated purpose.
The tool set covers the full workflow: fetching Eurostat counts, segment-level aggregation, filling gaps with Cognism data, startup/scaleup counts from Harmonic, and writing the final workbook with a dry-run option. A minor gap is the lack of a dedicated NACE-to-NAICS mapping helper, but this is acknowledged in the get_company_count description as a prerequisite rather than a server responsibility.