Australian Economic Data (RBA & ABS)

[](https://github.com/AnthonyPuggs/ausecon-mcp-server/actions) [](https://github.com/AnthonyPuggs/ausecon-mcp-server/actions/workflows/integration.yml) [](https://pypi.org/project/ausecon-mcp-server/) [](https://pypi.org/project/ausecon-mcp-server/) [](#connect-your-client) [](LICENSE) [](https://smithery.ai/servers/anthonypuggs/ausecon-mcp)

[](https://glama.ai/mcp/servers/AnthonyPuggs/ausecon-mcp-server)

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.

Open · free · no API key — always fresh & fully source-traceable, three official sources in one shape.

Documentation  ·  Getting started  ·  Tool reference  ·  Changelog

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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.

14read-only tools 81economic concepts 16derived indicators 8prompt templates 3data sources

What you get

🔒 Fresh & source-traceable Every value is fetched live and stamped with its provenance (retrievedat, source, serverversion). On an upstream outage, a cached fallback is always flagged stale — never served silently.

🧱 Three sources, one shape ABS, RBA and APRA all return the same tidy metadata · series · observations structure.

🧮 Transparent derived series Formula-based indicators like realcashrate — every calculation is open and inspectable.

🎯 Source-native control Drop down to raw getabsdata, getrbatable or getapradata 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, Cursor, Windsurf, VS 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 |

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/mcp

Point 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/mcp

> The 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-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 Code

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

Codex

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

Claude Desktop

Add to your claude_desktop_config.json:

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

Cursor

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=

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

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

VS Code

[](https://insiders.vscode.dev/redirect/mcp/install?name=ausecon&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22ausecon-mcp-server%22%5D%7D)

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.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

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: AnthonyPuggs
• Source: AnthonyPuggs/ausecon-mcp-server
• License: MIT
• Homepage: https://auseconmcp.com

Install and usage instructions live in the source repository linked above.