ABS Data (observed)
Server Details
Australian Bureau of Statistics data: 1,227 tables, offering only options confirmed to serve data
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- AI-CoLab/abs-data-mcp
- GitHub Stars
- 0
- Server Listing
- ABS Data API MCP Server
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 8 tools
The core four (search_tables, describe_table, search_options, get_data) have clear boundaries, but `execute` re-exposes those same four verbs inside a sandbox while `search` runs JS over the catalogue document instead — an agent must read carefully to know which sandbox to reach for. The two feedback tools are distinguishable (draft form vs. send), but the execute/search split is a genuine overlap.
Most tools follow snake_case verb_noun (describe_table, get_data, search_options, search_tables, submit_feedback), but `execute` and `search` are bare verbs and `feedback_form` is noun-only. Readable, but the convention is not uniform.
Eight tools is well-scoped for a statistics data connector: a discover/describe/resolve/fetch pipeline plus two programmable escape hatches and two feedback paths. Each tool earns its place.
The domain lifecycle is fully covered: find tables, inspect dimensions/coverage, resolve option codes, and fetch observations, with `execute` and `search` handling joins, multi-series aggregation, and catalogue-wide queries that the fixed verbs can't express. Error-recovery (valid options returned) and feedback paths close the loop.
Available Tools
8 toolsdescribe_tableDescribe a tableARead-onlyIdempotentInspect
A table's dimensions in key order, its coverage dates, and its options. Dimensions with up to 64 options list them inline with labels; larger ones (geography, occupations) say how many and are searchable with search_options.
Inputs: table (required). Returns: table, keyFormat, dimensions, exampleUrl, +1 more
executeFetch and analyse data by writing codeARead-onlyIdempotentInspect
Run JavaScript in an isolated sandbox whose only capability is abs, a client with the same four verbs as this server (searchTables, describeTable, searchOptions, getData) and the same guarantees: every selection is verified against ABS before fetching. Use it for multi-series or multi-table analysis — fetch several series, compute growth rates, rank capitals, join tables — and return only the computed result, so large payloads never reach the conversation. No network beyond abs. Budgets: 10s CPU, 50 calls, 25s wall clock, 200KB result. Your code runs inside an async function; use await; console.log is captured.
// The abs object available in execute():
interface Abs {
searchTables(input: { query?: string; geography?: string; frequency?: "A"|"S"|"Q"|"M"|"W"|"D"; limit?: number }):
Promise<{ results: TableSummary[]; total: number }>;
describeTable(table: string):
Promise<{ table: TableSummary; dimensions: { id: string; position: number; optionCount: number; options?: { code: string; label: string|null }[] }[]; keyFormat: string }>;
searchOptions(input: { table: string; dimension: string; query: string; limit?: number }):
Promise<{ options: { code: string; label: string|null; parent?: string|null }[]; total: number }>;
getData(input: { table: string; select?: Record<string, string|string[]>; startPeriod?: string; endPeriod?: string; lastN?: number; firstN?: number; maxRows?: number }):
Promise<{ key: string; rows: { series: string; period: string; value: number|null; unit?: string|null }[]; rowsReturned: number; truncated: boolean; seriesMatched: number; fullDataUrl: string }>;
}
interface TableSummary { id: string; name: string|null; seriesCount: number; frequencies: string[]; coverage: { from: string|null; to: string|null }; dimensions: string[]; family: string|null; geography: string|null; matchedOptions?: { dimension: string; code: string; label: string|null }[] }
// getData throws an Error whose message is JSON: { reason, dimension, message, validOptions?, alternatives? } — catch it, read validOptions, correct and retry.
Inputs: code (required). Returns: ok, logs, error, result, +1 more
feedback_formOpen a feedback formARead-onlyIdempotentInspect
Open a feedback form for the person, prefilled with your draft, so they can report a problem or suggest an improvement to this ABS connector — or flag something wrong in ABS's own data. Use it whenever the person wants to give feedback, or agrees when you offer after something went wrong. Fill in what you know from the conversation: kind, a one-line summary in their words, details, and the tool, table, selection and error involved. Never include personal information about anyone, and never fill in a contact email the person did not give you. This tool sends nothing: on hosts that show interactive views the person reviews, edits and sends the form themselves; elsewhere, follow the next field.
Inputs: kind, tool, about, error, +7 more. Returns: next, draft
get_dataGet dataARead-onlyIdempotentInspect
Fetch observations. select maps dimension ids to option codes or labels (several allowed); omitted dimensions match everything. The selection is verified live against ABS before fetching, so a call that succeeds always returns real data. Returns up to maxRows observations (default 500, most recent 12 periods per series unless a period range is given), a summary, and the URL for the complete pull. If an option or combination does not exist you are asked to choose from the valid ones.
Inputs: table (required), lastN, firstN, select, +3 more. Returns: key, rows, table, truncated, +6 more
searchSearch the catalogue by writing codeARead-onlyIdempotentInspect
Run JavaScript against the whole catalogue document — every table, its dimensions, coverage and small-dimension options — in an isolated sandbox with no network. Use it to answer questions the fixed verbs make awkward: 'which tables have both an SA2 geography and a quarterly frequency?', 'list every dimension name and how often it appears', 'find codelists whose labels mention rent'. Your code runs inside an async function with catalogue in scope; return a JSON-serialisable value; console.log output is captured.
// The catalogue object available in search():
interface Catalogue {
provenance: { runId: string; observedAt: string };
corpus: { tables: number; seriesConfirmed: number; seriesImpliedByMetadata: number; density: number };
tables: Record<string, { // keyed by table id, e.g. catalogue.tables.CPI
id: string; name: string|null; description: string|null; seriesCount: number;
frequencies: string[]; coverage: { from: string|null; to: string|null }; density: number|null;
family: string|null; geography: string|null; topics: string[];
dimensions: { id: string; position: number; codelist: string|null; optionCount: number; literal: boolean }[];
}>;
options: {
literal: Record<string, Record<string, string|null>>; // codelist id -> { code: label } for small codelists (<=64 options)
branded: Record<string, number>; // large codelists -> option count (use abs.searchOptions in execute)
};
}
Inputs: code (required). Returns: ok, logs, error, result, +1 more
search_optionsSearch a dimension's optionsARead-onlyIdempotentInspect
Find option codes by label text within one dimension of one table — e.g. a suburb name in a geography dimension. Returns codes to use in get_data's select.
Inputs: query (required), table (required), dimension (required), limit. Returns: total, options, provenance
search_tablesSearch ABS tablesARead-onlyIdempotentInspect
Find ABS statistical tables (dataflows) by topic words, geography level or frequency. Matches table names, topics and dimension names, and also option labels inside dimensions — a search for 'rent' finds CPI through its INDEX option 'Rents' and reports the match in matchedOptions. Census tables published at several geography levels are collapsed to one result with familyGeographies listing the others (use the geography filter to pick one). Every result has data. When the person describes a situation rather than a dataset, search for each thing it depends on (prices, wages, rents, population...). Start here, then describe_table.
Inputs: limit, query, frequency, geography. Returns: total, results, provenance
submit_feedbackSend feedback to the maintainersAInspect
Send feedback about this ABS connector (or a report about ABS's own data) to its maintainers. Only call this after the person has seen the exact text and said to send it — prefer feedback_form, which lets them edit it first. Use about='abs' for wrong figures or broken behaviour in ABS's own data or API; set shareWithAbs only if the person agreed it may be passed on to ABS. Never include personal information about anyone, and include a contact email only if the person gave one for a reply. Returns a reference like FB-7Q2K9C to give the person.
Inputs: kind (required), summary (required), tool, about, +7 more. Returns: id, message, receivedAt
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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