MCP server that provides structured access to Australian economic and financial data from ABS, RBA, and APRA. It supports searching economic concepts, retrieving source-native series data, and fetching derived indicators like real cash rate and GDP growth.
From the registry: Australian economic data from the ABS, RBA, and APRA: CPI, GDP, cash rate, labour, and more.
Please install the `ausecon-mcp-server` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install uv** — Install the uv tool so the MCP client can launch the PyPI package via uvx. (https://docs.astral.sh/uv/)
- **Python runtime** — Python 3.10+ is supported; Python 3.12 is recommended in the README. (https://pypi.org/project/ausecon-mcp-server/)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["ausecon-mcp-server"]
Note: The README’s primary install path is launching the PyPI package with uvx. Although the project mentions a hosted Streamable HTTP deployment at /mcp for Smithery, it does not provide a canonical end-user HTTP connection URL in the README, so the extractable client config is stdio only.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.MCP server for searching Airweave collections with natural language queries.