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StackData
io.stackdata/stackdata · v0.1.0
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 6 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Official statistics, China censuses & yearbooks, and as-of customs tariffs with legal citations.
Connect
streamable-http · https://api.stackdata.io/mcp
claude mcp add --transport http stackdata https://api.stackdata.io/mcp{
"mcpServers": {
"stackdata": {
"url": "https://api.stackdata.io/mcp"
}
}
}Tools as reported by the server
search_datasetsSearch StackData's catalog of 50k+ official statistical datasets (SDMX/World Bank dataflows, China censuses and yearbooks, tariff schedules). Multilingual: an English query finds Chinese-titled tables. Returns dataset ids usable with the other tools.get_tableFetch a STORED table whole, by dataset id (families cn-nbs-census and cn-nbs-yearbook): labelled rows × columns with original-language labels, English overlay, units, and provenance down to the source file. Ids look like 'cn-nbs-census:2010_a0101a'.tariff_lookupAs-of customs-tariff lookup: which measures/duty rates apply to a goods code in a jurisdiction (eu, us, uk, jp), optionally from an origin, on a date. Duty expressions are verbatim; every measure carries its legal citation. Not legal advice.resolve_dataAsk a data question in English ('unemployment rate in Japan', 'compare GDP in Japan and Germany') — resolves to the best covering dataset and returns the observations, with coverage honesty (missing countries are reported, never papered over).get_structureThe published structure of one dataset, free: its dimensions with every member code and label, frequencies, period coverage, the ISO3 countries it serves, and whether it is servable. Call this before get_series to learn the codes to send. Dataset ids come from search_datasets.get_seriesFetch ONE series with every dimension named by you (no guessing or relaxing): dataset, ISO3 countries, an ISO period range and a member code for every dimension from get_structure. Returns status ok/empty/refused with each value's provenance, and the missing country-periods listed. A bad request is
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