MCP server
Bpstat Pt
io.github.pipeworx-io/bpstat-pt
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
BPstat — Banco de Portugal statistics API (Portuguese central bank). Keyless.
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,152 tokens per request once connected46 tools
https://gateway.pipeworx.io/bpstat-pt/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 46
- Token cost
- About 27,152 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http bpstat-pt https://gateway.pipeworx.io/bpstat-pt/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.bpstat-pt] url = "https://gateway.pipeworx.io/bpstat-pt/mcp"
Gemini CLI
{"mcpServers":{"bpstat-pt":{"httpUrl":"https://gateway.pipeworx.io/bpstat-pt/mcp"}}}
Cursor
{"mcpServers":{"bpstat-pt":{"url":"https://gateway.pipeworx.io/bpstat-pt/mcp"}}}
VS Code
{"servers":{"bpstat-pt":{"type":"http","url":"https://gateway.pipeworx.io/bpstat-pt/mcp"}}}
Antigravity
agy mcp add bpstat-pt https://gateway.pipeworx.io/bpstat-pt/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"bpstat-pt","server_url":"https://gateway.pipeworx.io/bpstat-pt/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"bpstat-pt","server_url":"https://gateway.pipeworx.io/bpstat-pt/mcp"}
Tools
get_dataset~288 tokens
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 contaiget_series_metadata~229 tokens
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 relist_datasets~179 tokens
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.list_domains~153 tokens
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 P
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