io.github.cyanheads/eurostat-mcp-server
io.github.cyanheads/eurostat-mcp-server · v0.10.0
Search and query the Eurostat catalogue — EU economy, demography, trade, and NUTS regional data.
MCPremotelocal · npmno credentialsScience & open dataDatabases
Reported outcomes
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Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 8 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 100/100
What it does: 8 tools · 8 read, 0 write · Developer tools, Files & storage, Databases
Test call eurostat_browse_themes: worked (1,194 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://eurostat.caseyjhand.com/mcpPackage
registry: npm
identifier: @cyanheads/eurostat-mcp-server
version: 0.10.0
transport: stdioTools
8 tools listed at last check
eurostat_search_datasetsSearch the Eurostat catalogue by keyword. Returns matching datasets with codes, descriptions, period coverage, and theme breadcrumbs. Use this to discover dataset codes before calling eurostat_get_dataset_info, then eurostat_query_dataset for a slice of a dataset or eurostat_download_dataset for theeurostat_browse_themesNavigate the Eurostat theme tree. Without theme_code returns the top-level theme folders (Economy, Population, Transport, etc.) — the practical starting points. With a theme_code returns its immediate children: subtheme folders and datasets in that branch. Use this for structured discovery when youeurostat_get_dataset_infoFetch metadata for a Eurostat dataset: dimensions with valid values, time range, observation count, and last-update date. Call this before eurostat_query_dataset or eurostat_download_dataset to discover what dimension codes are valid (unit, na_item, geo, etc.); eurostat_download_dataset builds its peurostat_get_dimension_valuesList the valid values for a specific dimension in a Eurostat dataset (e.g., all unit codes for nama_10_gdp, all geo codes for a regional dataset). Use this when eurostat_get_dataset_info returns more values than the 10-item sample, or to confirm exact codes before querying. For the "geo" dimension,eurostat_query_datasetFetch statistical data from a Eurostat dataset with dimension filters. Returns a deterministic inline prefix of decoded observations with dimension codes and labels, numeric values, an OBS_FLAG status (e.g., "p" = provisional, "e" = estimated) and a separate CONF_STATUS confidentiality marker (e.g.,eurostat_download_datasetDownload a Eurostat dataset in bulk through the SDMX 2.1 TSV endpoint and stage every observation as a SQL table on the dataframe canvas — the route to a whole dataset, where eurostat_query_dataset is the route to a slice of one. The TSV wire format is roughly half the bytes of the JSON-stat body eueurostat_dataframe_describeList the tables staged on a Eurostat dataframe canvas, with their row counts and column names and types. Call this before eurostat_dataframe_query to learn the table and column names to write SQL against. The canvas_id comes from a eurostat_query_dataset or eurostat_download_dataset response that reeurostat_dataframe_queryRun a read-only SQL SELECT against tables staged on a Eurostat dataframe canvas — the way to reach observations past the 5,000-row inline cap of eurostat_query_dataset and past the inline preview of a eurostat_download_dataset bulk download, and to aggregate, group, or join across staged tables with
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