@pipeworx/cso-ie
Connect: https://pipeworx.io/mcp — every tool in the catalog, including @pipeworx/cso-ie’s. Install: one-click buttons
Connect to just the @pipeworx/cso-ie pack
https://gateway.pipeworx.io/cso-ie/mcp — only @pipeworx/cso-ie’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: 4
Tools
- list_datasets — Search the CSO catalog of ~12,600 Irish statistics tables. Returns matching tables with their matrix code (e.g. “CPM01”), label, dimensions, and last-updated date. The full catalog is large, so always
- dataset_metadata — Get the structure of one CSO table by matrix code: its dimensions, the category codes + human labels for each dimension, size, and last-updated date. Use this to discover valid dimension codes before
- get_dataset — Read a full CSO table as JSON-stat 2.0 (dimensions + flat value array). Some tables are large (the CPI table is ~60k values); use dataset_metadata first to gauge size, or use query_dataset to fetch a
- query_dataset — Read a FILTERED slice of a CSO table via JSON-RPC. Pass a map of dimension code -> array of category index values to keep (get the dimension codes and category index values from dataset_metadata). Ret
Tools
dataset_metadata— Get the structure of one CSO table by matrix code: its dimensions, the category codes + human labels for each dimension, size, and last-updated date. Use this to discover valid dimension codes beforeget_dataset— Read a full CSO table as JSON-stat 2.0 (dimensions + flat value array). Some tables are large (the CPI table is ~60k values); use dataset_metadata first to gauge size, or use query_dataset to fetch alist_datasets— Search the CSO catalog of ~12,600 Irish statistics tables. Returns matching tables with their matrix code (e.g. CPM01 ), label, dimensions, and last-updated date. The full catalog is large, so alwaysquery_dataset— Read a FILTERED slice of a CSO table via JSON-RPC. Pass a map of dimension code -> array of category index values to keep (get the dimension codes and category index values from dataset_metadata). Ret