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ABS Data (observed)

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Australian Bureau of Statistics data: 1,227 tables, offering only options confirmed to serve data

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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

A3.9/5.0

Scored across 8 tools

Disambiguation3/5

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.

Naming Consistency3/5

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.

Tool Count5/5

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.

Completeness5/5

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 tools
describe_tableDescribe a tableA
Read-onlyIdempotent
Inspect

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 codeA
Read-onlyIdempotent
Inspect

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 formA
Read-onlyIdempotent
Inspect

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 dataA
Read-onlyIdempotent
Inspect

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

search_optionsSearch a dimension's optionsA
Read-onlyIdempotent
Inspect

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 tablesA
Read-onlyIdempotent
Inspect

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

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