mcpbeat

Australian Economic Data (ABS, RBA & APRA) MCP Server

io.github.AnthonyPuggs/ausecon-mcp-server
answering

Australian Economic Data (ABS, RBA & APRA) is answering right now. Last checked 2 min ago. 1 479 installs a week from pypi. It exposes 14 tools. Last commit 3 Aug 2026.

Australian economic data from the ABS, RBA, and APRA: CPI, GDP, cash rate, labour, and more.

Installs per day peak 501 · avg 135 · +45% w/w
a month agotoday
Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
14
Tools
read from the server
492 ms
Response time
average over 24h
1 479
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

run in your terminal
claude mcp add ausecon-mcp-server --transport http https://mcp.auseconmcp.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ausecon-mcp-server": {
      "url": "https://mcp.auseconmcp.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.ausecon-mcp-server]
url = "https://mcp.auseconmcp.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "ausecon-mcp-server": {
      "url": "https://mcp.auseconmcp.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "ausecon-mcp-server": {
      "url": "https://mcp.auseconmcp.com/mcp"
    }
  }
}

Available tools 14

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

abs
get_abs_data
Expert/source-native ABS SDMX retrieval in a normalised response shape.
get_abs_dataset_structure
Get ABS SDMX dataset dimensions and codelists.
economic
get_economic_series
Preferred analyst-facing retrieval tool for curated ABS/RBA economic concepts. Use list_economic_concepts for discovery. Date bounds accept YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD and are normalised to the resolved source.
list_economic_concepts
List analyst-friendly semantic economic concepts accepted by get_economic_series.
rba
get_rba_table
Expert/source-native RBA statistical table retrieval in a normalised response shape.
list_rba_tables
Deprecated compatibility alias. Prefer list_catalogue(source="rba").
apra
get_apra_data
Expert/source-native APRA public XLSX publication retrieval. Only curated official APRA publication IDs are accepted; arbitrary URLs are not.
catalogue
list_catalogue
List curated ABS, RBA, and APRA catalogue entries, optionally filtered by source, category, or tag. Unranked complement to ``search_datasets``.
datasets
search_datasets
Search curated ABS, RBA, and APRA economic datasets.
derived
get_derived_series
Read-only retrieval for the narrow transparent derived series layer. Date bounds accept YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD and are normalised to the derived series frequency.
describe
describe_dataset
Describe a source-native ABS, RBA, or APRA dataset without hiding native IDs.
latest
get_latest_observations
Source-aware convenience wrapper for the latest observations. For a single curated indicator prefer get_economic_series(concept=...), which resolves one series; pass series_ids=[...] to narrow a broad dataset instead of returning every series it contains.
release
list_release_events
List source-aware release calendar or release-pulse events.
top
get_top_observations
Source-aware convenience wrapper for highest or lowest numeric observations. For a single curated indicator prefer get_economic_series(concept=...), which resolves one series; pass series_ids=[...] to narrow a broad dataset instead of returning every series it contains.

Endpoints

URLTransportStateLatencyChecked
https://mcp.auseconmcp.com/mcp streamable-http answering 391 ms 2 min ago

Australian Economic Data (ABS, RBA & APRA) — questions

Answers built from our own checks of this server.

What can Australian Economic Data (ABS, RBA & APRA) do?
It exposes 14 tools, read directly from the server on our last check. Among them: describe_dataset, get_abs_data, get_abs_dataset_structure, get_apra_data, get_derived_series, get_economic_series and 8 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Australian Economic Data (ABS, RBA & APRA) mostly used for?
Its tools cluster around abs, economic and rba. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Australian Economic Data (ABS, RBA & APRA) working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 492 ms. The bar chart above shows every period we have measured.
How do I connect Australian Economic Data (ABS, RBA & APRA)?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Australian Economic Data (ABS, RBA & APRA) need an API key?
No. Australian Economic Data (ABS, RBA & APRA) completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 14 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Australian Economic Data (ABS, RBA & APRA)?
It answers our handshake in 492 ms on average, which is faster than 23% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Australian Economic Data (ABS, RBA & APRA)?
The pypi package ausecon-mcp-server was installed 1 479 times in the last week. Week over week that is +45%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Australian Economic Data (ABS, RBA & APRA) open source?
Yes — it is published under the MIT licence, written in Python and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.