@pipeworx/ine-es

Connect: https://pipeworx.io/mcp — every tool in the catalog, including @pipeworx/ine-es’s. Install: one-click buttons

No MCP client? Skip the connection: POST https://gateway.pipeworx.io/v1/tools/search_packs {"query":"..."} to find a tool below, GET /v1/tools/<name> for its schema, POST the same URL with arguments for the data — see For AI agents.

Tools: 6

Tools

• list_operations — List all available INE statistical operations (Spain). Each has a numeric Id, a Codigo (e.g. “IPC”=CPI, “EPA”=labor force survey), and a Nombre. Use the Codigo or Id with tables_for_operation.
• tables_for_operation — List the statistical tables belonging to one INE operation. operationId may be the numeric Id (e.g. 25) or the operation code (e.g. “IPC”, “EPA”). Each table has an Id used by series_in_table / table_
• series_in_table — List the data series contained in an INE table. Each series has a COD (series code, e.g. “IPC251852”) and a Nombre describing the breakdown. Pass a COD to series_data.
• table_data — Fetch data points for ALL series in an INE table at once. Use nult=N for the last N periods, or date=“YYYYMMDD:” for everything from that date on (trailing colon = open-ended range). Each series objec
• series_data — Fetch data for ONE INE series by its code. Use nult=N for the last N periods, or date=“YYYYMMDD:” for from that date on. Returns the series with its Data[] array of {Fecha (epoch ms), Anyo, Valor} poi
• variable_values — List the values of an INE classification variable (e.g. provinces, age groups, ECOICOP groups). With no variableId, lists all variables; with a variableId, lists that variable’s allowed values (each h