Eurostat TAM MCP server
Related Servers
Alternatives to Eurostat TAM MCP server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceSearch and query the Eurostat catalogue — EU economy, demography, trade, health, and NUTS regional data via MCP with 5 tools and 1 resource.878 npm9Apache 2.0
- AlicenseAqualityBmaintenanceMCP server for Eurostat statistics, enabling seamless search, query, and analysis of over 8,900 EU datasets with support for SDMX, DuckDB SQL, NUTS regional filtering, and CSV export.121MIT
- FlicenseNot gradedqualityDmaintenanceExposes the Eurostat Statistics API, enabling LLMs to discover, explore, and retrieve official EU statistical data through search, dimension inspection, and data retrieval tools.3-
- AlicenseAqualityDmaintenanceMCP server for EU company and business data. 9 tools: company search (GLEIF, 2M+ entities), LEI lookup, corporate structures (parent/subsidiaries), trade register search, EU VAT validation (VIES), GDP, unemployment, inflation, and business demography (Eurostat). All APIs free, no keys required.96MIT
- AlicenseNot gradedqualityBmaintenanceEnables querying Eurostat statistical data through natural language or direct MCP tools, wrapping the Eurostat API without authentication.453 npmMIT
- AlicenseBqualityBmaintenanceEnables querying Brazil's official CNPJ company registry data, counting and listing establishments by municipality, state, CNAE activity, size, or status, with caveats about official dump limitations such as non-IBGE municipality codes and secondary activities.4MIT
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.