AusEcon MCP for ABS | RBA | APRA data
This server provides AI assistants with free, structured, read-only access to Australian economic and financial data from the ABS, RBA, and APRA — no API key required. All data is returned in a consistent metadata · series · observations format with full source provenance.
Discovery & Search
search_datasets— Free-text search across curated datasets, optionally filtered by sourcelist_catalogue— Browse the full dataset catalogue by source, category, or taglist_economic_concepts— List analyst-friendly semantic concepts (e.g.cash_rate_target,gdp)
Data Retrieval
get_economic_series— High-level retrieval by concept name, with optional variant, frequency, geography, and date filtersget_derived_series— Formula-based derived indicators (e.g.real_cash_rate) with full calculation provenanceget_abs_data/get_rba_table/get_apra_data— Expert/source-native retrieval from ABS (SDMX), RBA statistical tables, and APRA XLSX publications
Structural Inspection
get_abs_dataset_structure— Inspect ABS dataset dimensions and codelistsdescribe_dataset— Plain-English description of any dataset across all three sources
Convenience Tools
get_latest_observations— Most recent N observations from any datasetget_top_observations— Highest or lowest numeric observations within optional date bounds
Release Calendar
list_release_events— Upcoming or past publication dates across ABS, RBA, and APRA
The server runs locally via stdio or hosted via Streamable HTTP, is entirely read-only, and supports flexible date formats (YYYY, YYYY-QN, YYYY-MM-DD, etc.).
Integrates with Codeium's Windsurf IDE to provide access to Australian economic and financial datasets for AI-assisted analysis.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AusEcon MCP for ABS | RBA | APRA datawhat's the current RBA cash rate?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Documentation · Getting started · Tool reference · Changelog
Why this exists
Australian economic data is authoritative but awkward to reach — scattered across portals,
formats, and identifiers you have to memorise. ausecon is the open, free, no-API-key way to
put it in front of any AI assistant: every series comes back fresh and fully source-traceable, stamped with its provenance,
in one consistent shape
(metadata · series · observations) across all three regulators. Ask for “the cash
rate” or “quarterly real GDP growth” and get research-grade data back without
leaving the conversation.
Related MCP server: ABS MCP Server
What you get
Data sources
Source | Coverage |
ABS · Australian Bureau of Statistics | National accounts, prices, labour force, population |
RBA · Reserve Bank of Australia | Cash rate, monetary & financial aggregates, exchange rates |
APRA · Aust. Prudential Regulation Authority | ADI & insurer statistics, with release-cadence estimates |
Try it instantly (no install)
Prefer not to install anything? A hosted, read-only, no-API-key instance speaks MCP over Streamable HTTP at:
https://ausecon-mcp-server.onrender.com/mcpPoint any MCP client that supports remote (Streamable HTTP) servers at that URL — for example, in Claude Code:
claude mcp add --transport http ausecon https://ausecon-mcp-server.onrender.com/mcpThe hosted instance may take a few seconds to wake on the first request.
Install
The package lives on PyPI and is designed to be
launched on demand by your MCP client via uvx:
uvx ausecon-mcp-serverThe server speaks MCP over standard input/output. Launched on its own, it simply waits for a client to connect.
Connect your client
claude mcp add --transport stdio ausecon -- uvx ausecon-mcp-servercodex mcp add ausecon -- uvx ausecon-mcp-serverAdd to your claude_desktop_config.json:
{
"mcpServers": {
"ausecon": {
"command": "uvx",
"args": ["ausecon-mcp-server"]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):
{
"mcpServers": {
"ausecon": {
"command": "uvx",
"args": ["ausecon-mcp-server"]
}
}
}Or paste this one-click link into your browser:
cursor://anysphere.cursor-deeplink/mcp/install?name=ausecon&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJhdXNlY29uLW1jcC1zZXJ2ZXIiXX0=Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"ausecon": {
"command": "uvx",
"args": ["ausecon-mcp-server"],
"env": {}
}
}
}Or add to .vscode/mcp.json (workspace) or your user mcp.json:
{
"servers": {
"ausecon": {
"type": "stdio",
"command": "uvx",
"args": ["ausecon-mcp-server"]
}
}
}Hosting it instead?
smithery.yamlandDockerfile.smitheryship a Streamable HTTP deployment at/mcp. See the Smithery guide.
A quick taste
Find the concept you want, then ask for the series:
list_economic_concepts(query="cash rate")
get_economic_series(
concept="cash_rate_target",
start="2020-01-01",
)Need a transparent, formula-based indicator? Call the derived surface directly:
get_derived_series(concept="real_cash_rate", last_n=12)Connected to an AI agent, you can skip the syntax entirely — ask for “quarterly real GDP growth” and it maps your request to the right tool calls for you.
Develop locally
Python 3.12 is recommended; the CI matrix supports 3.10+.
uv sync --python 3.12 --extra dev
uv run pytest
uv run ruff check src tests scriptsauseconmcp.com · Issues · MIT Licence · Made for the Australian data community
Maintenance
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