search_kpi
Pack: kolada-se · 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/search_kpi for the schema, then POST the same URL with its arguments for the data.
Find Kolada KPI (indicator) ids by title substring (Swedish). Searches ~5,000 indicators
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
title | string | yes | Substring of the indicator title (Swedish), e.g. “arbetslös” or “betyg”. |
page | integer | no | Page number, 1-based (default 1). |
per_page | integer | no | Results per page (default 30). |
Example call
Arguments
{
"title": "arbetslöshet"
}
curl
curl -X POST https://gateway.pipeworx.io/kolada-se/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_kpi","arguments":{"title":"arbetslöshet"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('search_kpi', {
"title": "arbetslöshet"
});
More examples
{
"title": "betyg",
"page": 1,
"per_page": 50
}
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 kolada-se pack
{
"mcpServers": {
"kolada-se": {
"url": "https://gateway.pipeworx.io/kolada-se/mcp"
}
}
}
See Getting Started for client-specific install steps.