subjects
Pack: stat-gl · 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/subjects for the schema, then POST the same URL with its arguments for the data.
Browse the Statistics Greenland (Grønlands Statistik) PxWeb subject tree under the /Greenland database. Empty path returns root folders (type ‘l’) and tables (type ‘t’); supply a sub-path like ‘BE/BE01’ to drill deeper. Table IDs carry a ‘.px’ or ’.PX’ suffix — pass verbatim to table_meta or query_table.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
path | string | no | Sub-path under /Greenland/ (default empty = root). e.g. “BE/BE01” |
Example call
Arguments
{
"path": ""
}
curl
curl -X POST https://gateway.pipeworx.io/stat-gl/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"subjects","arguments":{"path":""}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('subjects', {
"path": ""
});
More examples
{
"path": "BE/BE01"
}
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 stat-gl pack
{
"mcpServers": {
"stat-gl": {
"url": "https://gateway.pipeworx.io/stat-gl/mcp"
}
}
}
See Getting Started for client-specific install steps.