MCP server exposing 3 tools for ilostat.
This URL is a JSON-RPC 2.0 endpoint over HTTP. Issue POST requests with a JSON-RPC body. Browsers and search crawlers land here on GET.
POST https://gateway.pipeworx.io/ilostat/mcp
Content-Type: application/json
{"jsonrpc":"2.0","id":1,"method":"tools/list"}list_dataflows — Browse or keyword-search ILOSTAT datasets (dataflows) from the International Labour Organization. Each result has an `id` (the dataflowId you pass to get_data / dataflow_structure) and an English name. ILO publishes ~1,200 datasets covering employment, unemployment, labour force participation, wages, hours worked, informality, working poverty, child labour, and occupational safety. Always pass `query` to filter unless you really want the whole list. Example: list_dataflows({ query: "unemployment rate" }) or list_dataflows({ query: "minimum wage" }).dataflow_structure — Get the structure (Data Structure Definition) of one ILOSTAT dataset: its ordered dimensions and, for each, the valid codes. Use this to learn how to build the dot-separated SDMX key for get_data. The key positions correspond to the dimensions in order; an empty position is a wildcard. Common dimensions are REF_AREA (ISO3 country code, e.g. "USA", "FRA"), FREQ (A=annual, Q=quarterly, M=monthly), SEX, AGE, and MEASURE. Always call this before get_data. Example: dataflow_structure({ dataflow_id: "DF_SDG_0852_SEX_AGE_RT" }).get_data — Pull observations from an ILOSTAT dataset. `key` is a dot-separated SDMX dimension filter, one position per dimension in the order given by dataflow_structure; leave a position empty to wildcard it. ILO keys typically start with REF_AREA then FREQ; e.g. get_data({ dataflow_id: "DF_SDG_0852_SEX_AGE_RT", key: "USA.A...", start_period: "2015", end_period: "2024" }) selects the USA, annual frequency, and wildcards the remaining dimensions. Omit `key` (or pass "") to fetch all series — caution, this can be large. Returns decoded series with their dimension labels and per-period values.Code samples (curl / TypeScript / one-click client install), schemas, and the live playground are on the pack page:
https://pipeworx.io/packs/ilostat/
Pipeworx is an open MCP gateway connecting AI agents to live data. pipeworx.io