Ausecon Mcp Server— agent skill

<!-- mcp-name: io.github.AnthonyPuggs/ausecon-mcp-server -->

<div align="center">

<img src="assets/banner.svg" alt="ausecon — Australian economic & financial data MCP server" width="100%" />

<br/>

<p> <b>ausecon</b> is a Model Context Protocol server that gives any AI assistant clean, structured access to Australia&rsquo;s core economic and financial data &mdash; straight from the <b>ABS</b>, <b>RBA</b>, and <b>APRA</b>. </p>

<p> <b>Open</b> &middot; <b>free</b> &middot; <b>no API key</b> &mdash; always <b>fresh &amp; fully source-traceable</b>, three official sources in <b>one shape</b>. </p>

<a href="https://auseconmcp.com"><b>Documentation</b></a> &nbsp;·&nbsp; <a href="https://auseconmcp.com/getting-started">Getting started</a> &nbsp;·&nbsp; <a href="https://auseconmcp.com/tools">Tool reference</a> &nbsp;·&nbsp; <a href="https://github.com/AnthonyPuggs/ausecon-mcp-server/blob/main/CHANGELOG.md">Changelog</a>

</div>

Why this exists

Australian economic data is authoritative but awkward to reach &mdash; 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 &ldquo;the cash rate&rdquo; or &ldquo;quarterly real GDP growth&rdquo; and get research-grade data back without leaving the conversation.

<table align="center"> <tr> <td align="center"><b>14</b><br/>_{read-only tools}</td> <td align="center"><b>81</b><br/>_{economic concepts}</td> <td align="center"><b>16</b><br/>_{derived indicators}</td> <td align="center"><b>8</b><br/>_{prompt templates}</td> <td align="center"><b>3</b><br/>_{data sources}</td> </tr> </table>

What you get

<table> <tr> <td width="33%" valign="top"> <h4>🔒 Fresh &amp; source-traceable</h4> Every value is fetched live and stamped with its provenance (<code>retrieved_at</code>, <code>source</code>, <code>server_version</code>). On an upstream outage, a cached fallback is always flagged <code>stale</code> &mdash; never served silently. </td> <td width="33%" valign="top"> <h4>🧱 Three sources, one shape</h4> ABS, RBA and APRA all return the same tidy <code>metadata · series · observations</code> structure. </td> <td width="33%" valign="top"> <h4>🧮 Transparent derived series</h4> Formula-based indicators like <code>real_cash_rate</code> &mdash; every calculation is open and inspectable. </td> </tr> <tr> <td width="33%" valign="top"> <h4>🎯 Source-native control</h4> Drop down to raw <code>get_abs_data</code>, <code>get_rba_table</code> or <code>get_apra_data</code> whenever you need exact control. </td> <td width="33%" valign="top"> <h4>⚡ Quick-turn helpers</h4> Convenience tools for latest observations, top movers and release events &mdash; analysis in one call. </td> <td width="33%" valign="top"> <h4>🔌 Plugs into your client</h4> Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Codex or Smithery. stdio locally, Streamable HTTP when hosted. </td> </tr> </table>

Data sources

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

<details open> <summary><b>Claude Code</b></summary>

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

</details>

<details open> <summary><b>Codex</b></summary>

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

</details>

<details> <summary><b>Claude Desktop</b></summary>

Add to your claude_desktop_config.json:

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

</details>

<details> <summary><b>Cursor</b></summary>

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=

</details>

<details> <summary><b>Windsurf</b></summary>

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

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

</details>

<details> <summary><b>VS Code</b></summary>

Or add to .vscode/mcp.json (workspace) or your user mcp.json:

{
  "servers": {
    "ausecon": {
      "type": "stdio",
      "command": "uvx",
      "args": ["ausecon-mcp-server"]
    }
  }
}

</details>

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 &mdash; ask for &ldquo;quarterly real GDP growth&rdquo; 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

<div align="center"> <sub>

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

</sub> </div>