@pipeworx/statec-lu
Connect: https://pipeworx.io/mcp — every tool in the catalog, including @pipeworx/statec-lu’s. Install: one-click buttons
Connect to just the @pipeworx/statec-lu pack
https://gateway.pipeworx.io/statec-lu/mcp — only @pipeworx/statec-lu’s own tools, nothing else in the catalog.
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: 3
Tools
- list_dataflows — Browse or keyword-search STATEC (Luxembourg statistics) datasets, called “dataflows”. Each result has an
id(e.g. “DF_A1100”, the dataflowRef you pass to get_data / dataflow_structure) and an Englis - dataflow_structure — Get the structure (Data Structure Definition) of one STATEC dataset: its ordered dimensions and, for each, the valid codes. Use this BEFORE get_data to learn how to build the dot-separated SDMX
key. - get_data — Pull observations from a STATEC dataset.
keyis a dot-separated SDMX dimension filter, one position per dimension in the order given by dataflow_structure; leave a position empty to wildcard it. Fet
Tools
dataflow_structure— Get the structure (Data Structure Definition) of one STATEC dataset: its ordered dimensions and, for each, the valid codes. Use this BEFORE get_data to learn how to build the dot-separated SDMX `key`.get_data— Pull observations from a STATEC dataset. `key` is a dot-separated SDMX dimension filter, one position per dimension in the order given by dataflow_structure; leave a position empty to wildcard it. Fetlist_dataflows— Browse or keyword-search STATEC (Luxembourg statistics) datasets, called dataflows . Each result has an `id` (e.g. DF_A1100 , the dataflowRef you pass to get_data / dataflow_structure) and an English