ausecon-mcp-server 1.8.0

MCP server for Australian economic data from the ABS, RBA, and APRA.

ausecon is a Model Context Protocol server that gives any AI assistant clean, structured access to Australia’s core economic and financial data — straight from the ABS, RBA, and APRA.

Documentation  ·  Getting started  ·  Tool reference  ·  Changelog

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Why this exists

Australian economic data is authoritative but awkward to reach — different portals, different formats, and identifiers you have to memorise. ausecon puts a friendly, consistent layer in front of all three regulators so you (or your AI agent) can just ask for “the cash rate” or “quarterly real GDP growth” and get back tidy, source-traceable series — without leaving the conversation.

14 read-only tools

70 economic concepts

9 derived indicators

8 prompt templates

3 data sources

What you get

🔎 Ask in plain English Discover concepts with list_economic_concepts, then pull resolved series by name — no dataset IDs required.	🧱 Three sources, one shape ABS, RBA and APRA all return the same tidy metadata · series · observations structure.	🧮 Transparent derived series Nine formula-based indicators like real_cash_rate — every calculation is open and inspectable.
🎯 Source-native control Drop down to raw get_abs_data, get_rba_table or get_apra_data whenever you need exact control.	⚡ Quick-turn helpers Convenience tools for latest observations, top movers and release events — analysis in one call.	🔌 Plugs into your client Claude Desktop, Claude Code, Codex or Smithery. stdio locally, Streamable HTTP when hosted.

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

Install

The package lives on PyPI and is designed to be launched on demand by your MCP client via uvx:

uvx ausecon-mcp-server

The server speaks MCP over standard input/output. Launched on its own, it simply waits for a client to connect.

Connect your client

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "ausecon": {
      "command": "uvx",
      "args": ["ausecon-mcp-server"]
    }
  }
}

Claude Code

claude mcp add --transport stdio ausecon -- uvx ausecon-mcp-server

Codex

codex mcp add ausecon -- uvx ausecon-mcp-server

Hosting it instead? smithery.yaml and Dockerfile.smithery ship 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 scripts

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auseconmcp.com  ·  Issues  ·  MIT Licence  ·  Made for the Australian data community