Rba MCP server

@pipeworx/rba

Reserve Bank of Australia statistics — cash rate target, AUD exchange rates, and any of the 71 published statistical tables (interest rates, bond yields, CPI, monetary aggregates, and more), scraped keyless from RBA's own CSV endpoints.

Part of Pipeworx — an MCP gateway connecting AI agents to 1679+ live data sources.

Tools

monetary-policy rate) plus recent monthly history.

• rbacashrate(recent?) — the RBA's official cash rate target (AU's

against major currencies, or one pair's recent history.

• rbaexchangerates(currency?, recent?) — latest AUD exchange rates

series. Preferred usage: pass series as a NAME or description (e.g. "90-day bank bill rate", "3-year government bond yield") and it resolves the (table, seriesid) pair by fuzzy-matching series titles/descriptions — the interest-rate and bond-yield tables (F1, F1.1, F2, F2.1, F16) are searched first, then the broader catalog if nothing scores there. Returns resolvedfrom/resolvedto on a clean resolution, or an error: "ambiguous" with candidates when the name doesn't disambiguate on its own (never invents an id). Pass table + seriesid directly for the legacy exact-id path.

• rbaseries(series?, table?, seriesid?, recent?) — any RBA statistical

query searches series NAMES/descriptions directly (same engine rbaseries uses to resolve names) and returns ranked (table, seriesid) matches in one call. keyword searches table titles/categories instead and returns every series in the matched tables. table lists all series in one table. No arguments browses every table by category.

• rbalistseries(query?, keyword?, table?) — discovery/directory tool.

Auth

Keyless. RBA publishes every statistical table as CSV with no authentication or rate limit documented.

Data sources

per table id (e.g. f1.1, f2.1, g1). Row layout is fixed: a title line, then labelled header rows (Title, Description, Frequency, Type, Units, Source, Publication date, Series ID), then data rows keyed by date. Columns 1..N are series, matched by position across the header rows.

• https://www.rba.gov.au/statistics/tables/csv/-data.csv — one CSV

in src/index.ts was scraped from (2026-08-28). No official endpoint lists every table + series in one call; regenerate that scrape if RBA adds/renames a table (rare).

• https://www.rba.gov.au/statistics/tables/ — the index page RBA_TABLES

Gotchas

DD-Mon-YYYY (e.g. f11.1 exchange rates) — both normalized to YYYY-MM-DD by toIso().

• Dates use two formats across tables: DD/MM/YYYY (e.g. f1.1) and

with the same or near-identical name (e.g. "Cash Rate Target" in both f1 and f1.1; "EOD 3-month BABs/NCDs" in f1 vs "3-month BABs/NCDs" in f1.1). Name resolution collapses these via dedupeMatches() and prefers the monthly/interpolated table — otherwise every named query looks falsely ambiguous against its own daily twin.

• RBA republishes several series in both a daily and a monthly table

appear in RBA's own series titles** — RBA calls them "1/3/6-month BABs/NCDs". expandDaySynonyms() converts common day counts (30/90/180/365) to their month equivalent before scoring, so "90-day bank bill rate" still finds FIRMMBAB90 ("3-month BABs/NCDs").

• **Day-count finance shorthand ("90-day", "180-day") doesn't literally

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "rba": {
      "url": "https://gateway.pipeworx.io/rba/mcp"
    }
  }
}

What this endpoint actually serves

Shortened. The full README is on GitHub.