Summary
Connects your MCP client to the Banco de Portugal's BPstat API for querying Portuguese central bank statistics without requiring authentication. Part of the Pipeworx gateway ecosystem, which aggregates 673+ data sources behind a unified interface. The specific tools exposed aren't documented in the source, but you can use the ask_pipeworx natural language interface to query Portuguese economic data, monetary statistics, and financial indicators in plain English rather than calling individual endpoints. Runs over streamable HTTP, so setup is just adding a URL to your config. Useful if you're building agents that need authoritative Portuguese macroeconomic data without managing API keys or parsing central bank data formats yourself.
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Agent, run crypto. Access onchain data & trade routes via 1inch.
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 →mcp-bpstat-pt
BPstat — Banco de Portugal statistics API (Portuguese central bank). Keyless.
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tools
| Tool | Description |
|---|---|
list_domains | List Banco de Portugal's statistical domains (the full subject tree). Each domain has id, parent_id (tree links; null = top level), label/short_label/description (Portuguese by default), num_series, num_datasets, and has_series. Start here, then use a domain id with list_datasets. lang defaults to PT; pass "EN" for English. |
list_datasets | List the datasets within a statistical domain (use a domain id from list_domains). Returns a JSON-stat collection; each item has extension.id (the dataset id, a hex string) and extension.num_series. The dataset id feeds get_dataset. lang defaults to PT. |
get_dataset | Fetch a dataset as JSON-stat — THIS is how you get actual data/observations. Returns the value[] and status[] arrays plus the dimension objects; observations align to dimension.reference_date (the time axis, ISO dates). extension.series[] lists every series (id + Portuguese label) the dataset contains. Requires both the parent domain_id and the dataset id (from list_datasets). Large datasets can be sizeable. lang defaults to PT. |
get_series_metadata | Look up metadata for one or more series by numeric series id. Returns label, short_label, description (Portuguese by default), dataset_id, domain_ids, and dimension_category. Use this to identify a series and find which dataset_id holds its observations, then call get_dataset. NOTE: this endpoint returns metadata only — it does NOT return the numeric values. lang defaults to PT. |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"bpstat-pt": {
"url": "https://gateway.pipeworx.io/bpstat-pt/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/bpstat-pt/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 Bpstat Pt data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
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 →