@pipeworx/gastat
MCP serverEverything elseGASTAT MCP — Saudi Arabia's General Authority for Statistics.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use @pipeworx/gastat
From the project's README
As published by pipeworx-io/mcp-gastat in README.md.
Saudi Arabia's official statistics — GASTAT (General Authority for Statistics) population, employment/unemployment, GDP, consumer prices and trade indicators, each carrying both Arabic and English titles under one indicator id.
Part of Pipeworx — an MCP gateway connecting AI agents to 1573+ live data sources.
Tools
gastat_headline()— quick snapshot of GASTAT's own homepage indicators (population, GDP, unemployment rate, growth rate, per-capita income).gastat_search(term, limit?)— find indicators by keyword in English or Arabic across ~2,600 indicators; returns indicator ids + bilingual titles.gastat_series(indicator_id, recent?)— full time series for an indicator id (fromgastat_search/gastat_headline) — multiple periods for comparison over time, not just a latest-value lookup.
Auth
Keyless. Every endpoint here is served to anonymous visitors with no login, token, or registration — verified live.
Data sources
https://database.stats.gov.sa/gastatapi/portal/api/v1/indicators/cardsinfo— headline indicators (population, GDP, unemployment, etc.).https://database.stats.gov.sa/gastatapi/portal/api/v1/indicators/public— the full indicator catalog (~2,600 REP nodes), ~4.5MB, no server-side filtering. This is the same endpoint GASTAT's own Angular app (database.stats.gov.sa) fetches and searches client-side; there is no documented developer portal, so this was found by reading the app's own JS bundle rather than any published API docs.gastat_searchandgastat_seriesboth fetch it fresh per call (no cross-request cache available without a binding) — expect a few seconds of latency, that's GASTAT's shape, not ours.https://database.stats.gov.sa/gastatapi/portal/api/v1/indicators/getDataForChart?api=<token>— the actual observation data for one indicator, where<token>is the opaqueapi_urlfield carried on that indicator's catalog entry (stable across repeated fetches in testing — not session-bound).
Trap: most catalog entries carry a bare title + api_url token that
resolves cleanly with no extra parameters. A meaningful minority — anything
broken out by region, nationality, sector, or commodity in its title — needs
dimension filters this endpoint doesn't expose through a plain GET, and comes
back either an HTTP 400 or a row of all-null values. gastat_series detects
both cases and returns a clear error/message rather than surfacing the
raw failure, and gastat_search ranks indicators without a breakdown hint in
their title first, since those are the ones that resolve.
Bilingual trap: GASTAT indexes everything by Arabic AND English title
under one indicator id — never two ids for the same series. Every tool here
preserves both title_en and title_ar on the same record rather than
treating the Arabic filing as a separate entity.
Query-string parameters on indicators/public (e.g. ?term=) are rejected by
GASTAT's own WAF — confirmed live. There is no server-side search; the whole
catalog must be fetched and filtered client-side, which is what
gastat_search does.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"gastat": {
"url": "https://gateway.pipeworx.io/gastat/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/gastat/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 1573+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"gastat": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-gastat"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-gastat
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 Gastat data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Advanced
- Delivery
- gastat MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-pipeworx-io-gastat- Source
- github.com/pipeworx-io/mcp-gastat
- Hosted endpoint
https://gateway.pipeworx.io/gastat/mcp