INDIVIDUAL MCP TOOL
search_datasets
Search StackData's catalog of 50k+ official statistical datasets (SDMX/World Bank dataflows, China censuses and yearbooks, tariff schedules).
LIVE ENDPOINT
https://api.stackdata.io/mcp
Connect to this endpoint to inspect the live schema for search_datasets and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.stackdata]
url = "https://api.stackdata.io/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"stackdata": {
"type": "http",
"url": "https://api.stackdata.io/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: stackdata
Remote MCP URL: https://api.stackdata.io/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"stackdata": {
"url": "https://api.stackdata.io/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"stackdata": {
"type": "http",
"url": "https://api.stackdata.io/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "stackdata",
"transport": "streamable-http",
"url": "https://api.stackdata.io/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
get_table— 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.tariff_lookup— 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.resolve_data— 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).