@pipeworx/abs-au

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

Connect to just the @pipeworx/abs-au pack

https://gateway.pipeworx.io/abs-au/mcp — only @pipeworx/abs-au’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 search ABS datasets (dataflows). Returns dataflow IDs + descriptive names; the ID (e.g. “CPI”, “ALC”, “ABS_REGIONAL_LGA2021”) is what you pass to dataflow_structure and get_data. Optionally
  • dataflow_structure — For one ABS dataflow, return its ordered dimensions and the valid codes for each. Use this to build a dataKey for get_data: the key has one dot-separated position per dimension, in the order returned
  • get_data — Fetch observations from an ABS dataflow. dataKey is a dot-separated SDMX filter with one position per dimension (order from dataflow_structure); each position is a code, ”+“-joined codes, or empty for

Tools

  • dataflow_structure — For one ABS dataflow, return its ordered dimensions and the valid codes for each. Use this to build a dataKey for get_data: the key has one dot-separated position per dimension, in the order returned
  • get_data — Fetch observations from an ABS dataflow. dataKey is a dot-separated SDMX filter with one position per dimension (order from dataflow_structure); each position is a code, + -joined codes, or empty for
  • list_dataflows — Browse or search ABS datasets (dataflows). Returns dataflow IDs + descriptive names; the ID (e.g. CPI , ALC , ABS_REGIONAL_LGA2021 ) is what you pass to dataflow_structure and get_data. Optionally fil

Regenerated from source · build October 11, 2026