Summary
Connects Claude to Singapore's Department of Statistics via their Table Builder API. Part of the Pipeworx gateway ecosystem that wraps 250+ data sources behind a streamable HTTP interface. You can query economic indicators, demographic data, and official statistics from SingStat's public datasets. The gateway includes an ask_pipeworx tool that interprets natural language questions and routes them to the appropriate API calls automatically, so you don't need to know the exact table codes or parameter names. Useful when you need Singapore government data for economic analysis, demographic research, or building dashboards that pull from official sources.
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mcp-singstat-sg
SingStat Table Builder MCP — Department of Statistics Singapore.
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tools
| Tool | Description |
|---|---|
search_tables | Search Singapore official statistics tables (Department of Statistics Singapore) by keyword. Returns resource ids and titles. The id of a result (e.g. "M810001") is the resourceId used by table_data and table_metadata. |
table_data | Fetch the time-series data rows for a Singapore statistics table by resourceId (get ids from search_tables). Data is returned under Data with a row array of series, each containing dated columns. Filter time periods with timeFilter (comma-separated periods like "2020,2021") or between (a from,to range like "2010,2020"); page with offset/limit. |
table_metadata | Get the structure/metadata for a Singapore statistics table by resourceId (get ids from search_tables): theme, subject, frequency, period coverage and the list of variables/series. Result is under Data.records. |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"singstat-sg": {
"url": "https://gateway.pipeworx.io/singstat-sg/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/singstat-sg/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 Singstat Sg data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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Plug Mailtrap into your AI workflow and let it handle the email.
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Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →