Aussie Data MCP
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- AlicenseAqualityFmaintenanceCited Australian stats via the ausdata.io gateway — stable AU.* series IDs, source_url + retrieved_at on every response. Free tier. Not a data broker; upgrade for Embed / signed / webhooks.2839 npm2MIT
- AlicenseAqualityAmaintenanceMCP server for structured Australian macroeconomic and financial data from the Australian Bureau of Statistics (ABS), the Reserve Bank of Australia (RBA), and the Australian Prudential Regulation Authority (APRA).2144MIT
- AlicenseAqualityCmaintenanceMIT ABS sister MCP — same five tools, citations. Pair with the ausdata gateway for joins and Embed.7120 PyPI1MIT
- AlicenseNot gradedqualityDmaintenanceEnables an MCP client to discover ABS datasets, inspect SDMX dimension order and codelists, and run bounded statistical-data queries against the Australian Bureau of Statistics Data API.MIT
- 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.76 npmMIT
- AlicenseAqualityDmaintenanceProvides curated US economic data from Treasury, FRED, BLS, BEA, and other sources through an MCP interface. Enables querying economic series, fetching data with provenance tracking, and accessing cached artifacts.9MIT
TDQS
Scored across 10 tools
The focused tools (get_cpi, get_labour_force, get_cash_rate, get_lending_rates, get_exchange_rates, get_commute_pulse) each target a distinct dataset, and the three abs_* tools form a clear search/describe/fetch pipeline. The only real overlap is the intentional fallback pattern: rba_series can reproduce get_cash_rate data, and abs_get_data can cover CPI, so an agent could occasionally pick the generic path instead of the shortcut.
Six tools follow a clean get_<subject> pattern, and the ABS tools use a readable <source>_<verb>_<object> convention (abs_search_dataflows, abs_describe_dataflow, abs_get_data). rba_series breaks the pattern by having no verb, but the naming is otherwise predictable and family-grouped rather than chaotic.
At 10 tools the set is well-scoped: a handful of focused shortcuts plus a small generic ABS/RBA escape hatch. Every tool earns its place and none feels redundant or bolted on.
Core Australian macro questions (inflation, jobs, cash rate, lending, FX, commuting) have dedicated tools, and abs_search_dataflow/abs_describe_dataflow/abs_get_data plus rba_series close the long tail of ABS and RBA datasets. This gives full query coverage with no obvious dead ends.