Server data from the Official MCP Registry
Statistics Denmark (Danmarks Statistik / Statbank) MCP.
About
Statistics Denmark (Danmarks Statistik / Statbank) MCP.
Remote endpoints: streamable-http: https://gateway.pipeworx.io/dst-dk/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (526/527 approved). 1 finding(s) downgraded by scanner intelligence.
23 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipeworx-io-dst-dk": {
"url": "https://gateway.pipeworx.io/dst-dk/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mcp-dst-dk
Statistics Denmark (Danmarks Statistik / Statbank) MCP.
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tools
| Tool | Description |
|---|---|
denmark_population | Denmark's total population in ONE call, from Statistics Denmark (Danmarks Statistik, table FOLK1A), keyless — plus the recent quarterly trend. PREFER for "what is Denmark's population", "how many people live in Denmark", "Danish population growth", "Denmark population according to official statistics". Counts are registered residents at the FIRST DAY of each quarter, so "2026Q2" is a 1 April snapshot, not an average over the quarter. Use list_tables / get_data for breakdowns by region, age, sex or marital status. |
list_subjects | Browse the Statistics Denmark subject tree (People, Labour, Economy, Business, Environment, ...). Pass a subject id to drill into its children; set recursive to expand the whole subtree. |
list_tables | List/search available tables. Filter by subject id, free-text search, or recently-updated tables. Returns table ids (use with table_info / get_data), titles, period range, and variable names. |
table_info | Metadata for a table: title, unit, last updated, and the full list of variables with their codes and valid value ids. READ THIS BEFORE get_data to learn the exact variable codes (e.g. "OMRÅDE", "Tid") and value ids you must pass. |
get_data | Pull data from a table. Provide tableId and a "variables" map of {variableCode: valueOrValues}, using codes/ids from table_info. Each value may be a single id, an array of ids, or "*" for all. Omitted variables that allow elimination are aggregated to total. format "JSONSTAT" (default, structured JSON-stat) or "BULK"/"CSV" (semicolon-delimited text). |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"dst-dk": {
"url": "https://gateway.pipeworx.io/dst-dk/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/dst-dk/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Dst Dk data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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