`dataflow_structure`

Pack: abs-au · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)

No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/dataflow_structure for the schema, then POST the same URL with its arguments for the data.

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 here. Call this before get_data.

Parameters

Name	Type	Required	Description
`dataflowId`	string	yes	Dataflow id from list_dataflows, e.g. “CPI”.
`maxCodesPerDimension`	number	no	Cap codes listed per dimension to keep output small (default 50).

Example call

Arguments

{
  "dataflowId": "CPI"
}

curl

curl -X POST https://gateway.pipeworx.io/abs-au/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"dataflow_structure","arguments":{"dataflowId":"CPI"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('dataflow_structure', {
  "dataflowId": "CPI"
});

More examples

{
  "dataflowId": "ABS_REGIONAL_LGA2021",
  "maxCodesPerDimension": 30
}

Connect

Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://pipeworx.io/mcp"
    }
  }
}

Connect to just the abs-au pack

{
  "mcpServers": {
    "abs-au": {
      "url": "https://gateway.pipeworx.io/abs-au/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

dataflow_structure