MCP server exposing 3 tools for istat-it.
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/istat-it/mcp
Content-Type: application/json
{"jsonrpc":"2.0","id":1,"method":"tools/list"}list_dataflows — Browse or keyword-search ISTAT datasets (dataflows). Each result has an `id` (the dataflowId you pass to get_data / dataflow_structure) and an English name. ISTAT publishes ~4,800 datasets, so always pass `query` to filter unless you really want the whole list. Example: list_dataflows({ query: "unemployment" }) or list_dataflows({ query: "GDP" }).dataflow_structure — Get the structure (Data Structure Definition) of one ISTAT 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. Example: dataflow_structure({ dataflow_id: "101_1015" }).get_data — Pull observations from an ISTAT 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. Example: get_data({ dataflow_id: "101_1015", key: "A.IT...", start_period: "2021", end_period: "2023" }) selects annual (A), REF_AREA=IT (Italy), and wildcards the rest. 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/istat-it/
Pipeworx is an open MCP gateway connecting AI agents to live data. pipeworx.io