dataset_metadata
Pack: cso-ie · 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/dataset_metadata for the schema, then POST the same URL with its arguments for the data.
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 calling get_dataset with filters.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
matrix | string | yes | Matrix code, e.g. “CPM01” (Consumer Price Index) or “QLF18” (labour force). |
Example call
Arguments
{
"matrix": "CPM01"
}
curl
curl -X POST https://gateway.pipeworx.io/cso-ie/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"dataset_metadata","arguments":{"matrix":"CPM01"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('dataset_metadata', {
"matrix": "CPM01"
});
More examples
{
"matrix": "QLF18"
}
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 cso-ie pack
{
"mcpServers": {
"cso-ie": {
"url": "https://gateway.pipeworx.io/cso-ie/mcp"
}
}
}
See Getting Started for client-specific install steps.