StatCan MCP — Statistics Canada (StatCan) time-series via the Web Data
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add mcp-statcan -- npx -y @pipeworx/mcp-statcan{
"mcpServers": {
"mcp-statcan": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-statcan"]
}
}
}MCP Servers overview
# StatCan — Statistics Canada
Canada's national statistical office, via the free, keyless Web Data Service (WDS,
`www150.statcan.gc.ca/t1/wds/rest`). Covers the full cube (table) catalogue —
population, CPI/inflation, unemployment, GDP, trade, agriculture, and every other
official Canadian series — plus headline indicators pre-resolved to a vector id.
Part of [Pipeworx](https://pipeworx.io) — an MCP gateway connecting AI agents to 1679+ live data sources.
## Two access patterns
1. **Friendly / vector-based** — `statcan_indicator` (cpi, unemployment, gdp,
population by geography) and `statcan_series` (any series by numeric vector id,
FRED-style).
2. **Cube-based** — `statcan_list_cubes` (catalogue), `statcan_cube_metadata`
(dimensions + members for one cube), `statcan_cube_vectors` (enumerate the actual
vector ids for a cube), `statcan_cube_data` (latest N observations at a
coordinate), `statcan_changed_series` (daily change feed), `statcan_csv_url`
(full-table CSV download link).
## Table number → vector id, in two calls
Every StatCan question starts with a table (e.g. "32-10-0121-01", the egg
production table, or its 8-digit form `32100121`). Neither the table number nor
`statcan_cube_metadata` hands you a vector id directly — metadata only gives
dimensions and their member lists. Use `statcan_cube_vectors` to bridge that:
```js
statcan_cube_vectors({ product_id: "32100121", filters: { GEO: "Canada" } })
// -> rows: [{ vector_id: 61133, coordinate: "1.1.0.0.0.0.0.0.0.0",
// members: { Geography: "Canada", "Production and disposition": "Average number of layers" },
// frequency: "Monthly", terminated: false, series_title: "Canada;Average number of layers" }, ...]
statcan_series({ vector_id: "61133" })
// -> the actual observations
```
`filters` keys match by case-insensitive substring against the cube's dimension
names (so `GEO` matches `Geography`); values match by substring against member
names. Dimensions left unfiltered include **every** member of that dimension —
for a cube with many dimensions that's a large cross-product, so page with
`limit`/`page` (default 100/page, max 500) rather than pulling everything at once.
`total_combinations` and `has_more`/`next_page` in the response tell you whether
you're seeing all of it.
`statcan_cube_metadata` does **not** return vector ids — it only lists dimensions
and members, which is why `statcan_cube_vectors` exists.
## `product_id` accepts either form
- The 8-digit WDS product id: `32100121`
- The public table number: `32-10-0121-01` (StatCan's `NN-NN-NNNN-NN` display
format — the tool strips the dashes and drops the trailing 2-digit suffix)
## Auth
None. Fully keyless — StatCan WDS has no rate-limit key or auth header.
## Common pitfalls
- **`statcan_cube_data` needs a coordinate you already know.** If you don't have
one, get it from `statcan_cube_vectors` first — don't hand-build a coordinate
from `statcan_cube_metadata`'s member list and guess.
- **A wide table has thousands of combinations.** Always filter by at least one
dimension (most often `GEO`) before enumerating a table you haven't seen —
otherwise you'll be paging for a long time.
- **`terminated: true`** on a `statcan_cube_vectors` row means that series has
stopped publishing; the cube's `cube_start_date`/`cube_end_date` describe the
whole table's range, not any one series' actual last observation.
## Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
```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** — `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:
```json
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
```
Both URLs reach the same gateway and the same 1679+ data sources. The
only difference is which pack's tools are listed **directly**; `ask_pipeworx`
reaches all of them from either one.
## No MCP client? Call it over HTTP
```bash
curl -X POST https://gateway.pipeworx.io/v1/tools/statcan_indicator \
-H 'Content-Type: application/json' \
-d '{"indicator":"cpi"}'
```
No account needed for the first calls. Inspect any tool: `GET https://gateway.pipeworx.io/v1/tools/statcan_indicator`. Find one: `POST https://gateway.pipeworx.io/v1/tools/search_packs` with `{"query":"..."}`.
## Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no
gateway round-trip:
```json
{
"mcpServers": {
"statcan": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-statcan"]
}
}
}
```
Or run it directly to confirm it starts:
```bash
npx -y @pipeworx/mcp-statcan
```
It speaks MCP over stdin/stdout and answers `initialize`/`tools/list`/`tools/call`
for **only** this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
## 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 Statcan data" })
```
The gateway picks the right tool and fills the arguments automatically.
## More
- [Docs and guides](https://pipeworx.io/docs)
- [pipeworx.io](https://pipeworx.io)
## License
MIT
What people ask about mcp-statcan
What is pipeworx-io/mcp-statcan?
+
pipeworx-io/mcp-statcan is mcp servers for the Claude AI ecosystem. StatCan MCP — Statistics Canada (StatCan) time-series via the Web Data It has 0 GitHub stars and its last recorded update is dated 2026-09-25.
How do I install mcp-statcan?
+
You can install mcp-statcan by cloning the repository (https://github.com/pipeworx-io/mcp-statcan) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is pipeworx-io/mcp-statcan safe to use?
+
Our security agent has analyzed pipeworx-io/mcp-statcan and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains pipeworx-io/mcp-statcan?
+
pipeworx-io/mcp-statcan is maintained by pipeworx-io. The last recorded GitHub activity is dated 2026-09-25, with 0 open issues.
Are there alternatives to mcp-statcan?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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