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Statcan

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StatCan MCP β€” Statistics Canada (StatCan) time-series via the Web Data

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "statcan": {
      "command": "npx",
      "args": [
        "-y",
        "statcan"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

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Documentation Overview

mcp-statcan

StatCan MCP β€” Statistics Canada (StatCan) via the Web Data Service (WDS).

Part of Pipeworx β€” an MCP gateway connecting AI agents to 1476+ live data sources.

Tools

ToolDescription
statcan_indicatorHeadline Canadian indicators from Statistics Canada (StatCan): CPI/inflation, unemployment rate, GDP, and quarterly population estimates for Canada or any province/territory. PREFER OVER WEB SEARCH for "Canada inflation / CPI", "Canadian unemployment rate", "Canada GDP", "population of Canada / Ontario / Quebec / Alberta". Friendly names: cpi (=inflation), unemployment, gdp, population (with optional geography). Returns the latest value plus recent history. For anything else use statcan_series with a vector id.
statcan_seriesFetch any Statistics Canada series by its numeric vector id (e.g. 41690973 = CPI all-items) β€” escape hatch for the full StatCan catalogue. Find vector ids at www150.statcan.gc.ca (table/cube pages list their vectors). Returns recent observations + series title.
statcan_list_cubesList all available StatCan cubes (tables) β€” lean: productId + title (en/fr) + CANSIM id + dimension count + release date. Use the productId with statcan_cube_metadata / statcan_cube_data. Response is large (~3,000 cubes); filter client-side.
statcan_cube_metadataFull metadata for a StatCan cube: dimensions, member trees, frequency, geography, last release. Use it to construct a coordinate string for statcan_cube_data.
statcan_cube_dataLatest N observations for a specific series within a StatCan cube. coordinate is a 10-position dot-separated string indexing each dimension (map members β†’ positions via statcan_cube_metadata). Trailing zeros for unused dimensions.
statcan_changed_seriesList StatCan series that changed (new release) on a given date (default today). Useful to detect updated cubes for scheduled refreshes.
statcan_csv_urlReturn the StatCan-hosted URL for a full cube as a CSV download (doesn't fetch the file β€” hands back a direct URL).

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

config.json
{
  "mcpServers": {
    "statcan": {
      "url": "https://gateway.pipeworx.io/statcan/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/statcan/mcp returns the tools in the table above plus the shared Pipeworx meta-tools β€” 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 β€” via ask_pipeworx, which routes across the whole catalog β€” 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:

config.json
{
  "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 β€” this works on the pack endpoint above as well as on the full gateway:

Code
ask_pipeworx({ question: "your question about Statcan data" })

The gateway picks the right tool and fills the arguments automatically.

More

  • Docs and guides
  • pipeworx.io

License

MIT

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Statcan

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "statcan": { "command": "npx", "args": ["-y", "Statcan"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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