Australian Bureau of Statistics
Related Servers
Alternatives to Australian Bureau of Statistics
No user-submitted related servers found.
Related Servers
- FlicenseCqualityCmaintenanceProvides access to the Australian Bureau of Statistics (ABS) Data API. This server allows AI assistants to query and analyze ABS statistical data.19-
- AlicenseAqualityBmaintenanceOne-call Australian economic data plumbing via the RBA — cited responses for rates and macro series, not a data broker.633 PyPIMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to browse, search, and query Australian Bureau of Statistics datasets through the ABS Data API, exposing dataflow discovery, dimension/code structure inspection, and SDMX dataKey-based retrieval of time-indexed observations with decoded labels. It can run as a hosted gateway endpoint or a local stdio server.685 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to query Reserve Bank of Australia statistics — the cash rate target, AUD exchange rates, and any of 71 published tables such as interest rates, bond yields, CPI, and monetary aggregates — with free keyless access. Series can be found by fuzzy-matching plain-English names like "90-day bank bill rate" or by exact table and series ID.364 npmMIT
- AlicenseAqualityCmaintenanceEnables querying the ONS NOMIS labour market and census API from Claude, with tools for dataset discovery, dimension exploration, code resolution, and data fetching while guarding against silent truncation.6MIT
- FlicenseNot gradedqualityDmaintenanceProvides access to Federal Reserve Economic Data (FRED) through Claude and other LLM clients, enabling users to search for, retrieve, and visualize economic indicators like GDP, employment, and inflation data.8-
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose: describe for metadata, get_data for historical data, latest for current, list_curated for curated IDs, release_calendar for schedule, search for discovery, top_n for ranking. No overlap in functionality.
Most tool names follow a verb_noun pattern (describe_dataset, search_datasets, list_curated), but get_data, top_n, and release_calendar use different forms. However, all are snake_case and descriptive, making them predictable.
Seven tools cover the essential operations for a statistics bureau server: metadata discovery, data retrieval, listing curated sources, release schedule, and search. The scope is neither too broad nor too narrow.
The tool set covers querying, latest values, ranking, metadata description, search, and release calendar. For a read-only statistical data portal, this is comprehensive; no obvious gaps for common workflows.