AusEcon MCP - ABS RBA and APRA Data
MCP server for retrieval of Australian economic and financial data - supports ABS, RBA and APRA
What it can do
- Search Datasets: Search curated ABS, RBA, and APRA economic datasets.
- List Catalogue: List curated ABS, RBA, and APRA catalogue entries, optionally filtered by source, category, or tag. Unranked complement to ``search_datasets``.
- List Economic Concepts: List analyst-friendly semantic economic concepts accepted by get_economic_series.
What data it sees
Do you need an account
No: the server works without sign-in
MCP server for retrieval of Australian economic and financial data - supports ABS, RBA and APRA
How to connect
How to connect AusEcon MCP - ABS RBA and APRA Data to Claude
The server address to paste into Claude settings:
https://ausecon-mcp.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect AusEcon MCP - ABS RBA and APRA Data to ChatGPT
The server address to paste into ChatGPT settings:
https://ausecon-mcp.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect AusEcon MCP - ABS RBA and APRA Data to Cursor
The server address to paste into Cursor settings:
https://ausecon-mcp.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (14)
Raw names from tools/list. Only developers need these.
| search_datasets | Search curated ABS, RBA, and APRA economic datasets. |
| list_catalogue | List curated ABS, RBA, and APRA catalogue entries, optionally filtered by source, category, or tag. Unranked complement to ``search_datasets``. |
| list_economic_concepts | List analyst-friendly semantic economic concepts accepted by get_economic_series. |
| get_abs_dataset_structure | Get ABS SDMX dataset dimensions and codelists. |
| get_abs_data | Expert/source-native ABS SDMX retrieval in a normalised response shape. |
| list_rba_tables | Deprecated compatibility alias. Prefer list_catalogue(source="rba"). |
| get_rba_table | Expert/source-native RBA statistical table retrieval in a normalised response shape. |
| get_apra_data | Expert/source-native APRA public XLSX publication retrieval. Only curated official APRA publication IDs are accepted; arbitrary URLs are not. |
| 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. |
| 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. |
| 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. |
| 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. |
| describe_dataset | Describe a source-native ABS, RBA, or APRA dataset without hiding native IDs. |
| list_release_events | List source-aware release calendar or release-pulse events. |