MCP server

StackData Official

io.stackdata/stackdata

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Official statistics, China censuses & yearbooks, and as-of customs tariffs with legal citations.

Website

At a glance

Type

MCP server

Publisher

stackdata.io (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 1,257 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http stackdata https://api.stackdata.io/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.stackdata]
url = "https://api.stackdata.io/mcp"

Gemini CLI

{"mcpServers":{"stackdata":{"httpUrl":"https://api.stackdata.io/mcp"}}}

Cursor

{"mcpServers":{"stackdata":{"url":"https://api.stackdata.io/mcp"}}}

VS Code

{"servers":{"stackdata":{"type":"http","url":"https://api.stackdata.io/mcp"}}}

Antigravity

agy mcp add stackdata https://api.stackdata.io/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"stackdata","server_url":"https://api.stackdata.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"stackdata","server_url":"https://api.stackdata.io/mcp"}

Tools

• get_series ~508 tokens
  Fetch 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
• get_structure ~136 tokens
  The 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_table ~122 tokens
  Fetch 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'.
• resolve_data ~144 tokens
  Ask 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).
• search_datasets ~136 tokens
  Search 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.
• tariff_lookup ~211 tokens
  As-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.

Browse

• Legal research
• Government and public data

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