ABS Data (observed)
Australian Bureau of Statistics data: 1,227 tables, offering only options confirmed to serve data
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"abs-data": {
"url": "https://abs-data-front-door.aicolab.workers.dev/mcp"
}
}
}遠端端點
https://abs-data-front-door.aicolab.workers.dev/mcpstreamable-http它能做什麼
工具清單
工具（6）
🟢search_tables(query, geography, frequency, limit)
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 is confirmed to serve data — nothing here comes from documentation alone. Start here, then describe_table.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"description": "Free text over ids, names, topics, dimensions",
"type": "string",
"minLength": 1,
"maxLength": 200
},
"geography": {
"description": "Restrict to a geography level, e.g. SA2, LGA",
"type": "string"
},
"frequency": {
"type": "string",
"enum": [
"A",
"S",
"Q",
"M",
"W",
"D"
],
"description": "A annual, S semi-annual, Q quarterly, M monthly, W weekly, D daily"
},
"limit": {
"default": 10,
"type": "integer",
"minimum": 1,
"maximum": 50
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}輸出結構描述
{
"type": "object",
"properties": {
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Dataflow id, e.g. CPI"
},
"name": {
"type": [
"string",
"null"
]
},
"description": {
"description": "ABS's own description, trimmed",
"type": [
"string",
"null"
]
},
"seriesCount": {
"type": "integer",
"minimum": -9007199254740991,
"maximum": 9007199254740991,
"description": "Series confirmed to exist by retrieval"
},
"frequencies": {
"type": "array",
"items": {
"type": "string",
"enum": [
"A",
"S",
"Q",
"M",
"W",
"D"
],
"description": "A annual, S semi-annual, Q quarterly, M monthly, W weekly, D daily"
}
},
"coverage": {
"type": "object",
"properties": {
"from": {
"description": "Earliest observed period, e.g. 2002-Q1",
"type": [
"string",
"null"
]
},
"to": {
"description": "Latest observed period",
"type": [
"string",
"null"
]
}
},
"required": [
"from",
"to"
],
"additionalProperties": false
},
"density": {
"type": [
"number",
"null"
]
},
"family": {
"description": "Census table family, e.g. C21_G01",
"type": [
"string",
"null"
]
},
"geography": {
"description": "Geography level for family members, e.g. LGA",
"type": [
"string",
"null"
]
},
"dimensions": {
"type": "array",
"items": {
"type": "string"
},
"description": "Dimension ids in key order"
},
"topics": {
"type": "array",
"items": {
"type": "string"
}
},
"matchedOptions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"dimension": {
"type": "string"
},
"code": {
"type": "string"
},
"label": {
"type": [
"string",
"null"
]
}
},
"required": [
"dimension",
"code",
"label"
],
"additionalProperties": false
}
},
"familyGeographies": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"id",
"name",
"seriesCount",
"frequencies",
"coverage",
"density",
"family",
"geography",
"dimensions",
"topics"
],
"additionalProperties": false
}
},
"total": {
"type": "integer",
"minimum": -9007199254740991,
"maximum": 9007199254740991
},
"provenance": {
"type": "object",
"properties": {
"runId": {
"type": "string"
},
"observedAt": {
"type": "string"
}
},
"required": [
"runId",
"observedAt"
],
"additionalProperties": false
}
},
"required": [
"results",
"total",
"provenance"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢describe_table(table)
A table's dimensions in key order, its coverage dates, and its observed 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.
輸入結構描述
{
"type": "object",
"properties": {
"table": {
"type": "string",
"minLength": 1,
"description": "Dataflow id, e.g. CPI"
}
},
"required": [
"table"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}輸出結構描述
{
"type": "object",
"properties": {
"table": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Dataflow id, e.g. CPI"
},
"name": {
"type": [
"string",
"null"
]
},
"description": {
"description": "ABS's own description, trimmed",
"type": [
"string",
"null"
]
},
"seriesCount": {
"type": "integer",
"minimum": -9007199254740991,
"maximum": 9007199254740991,
"description": "Series confirmed to exist by retrieval"
},
"frequencies": {
"type": "array",
"items": {
"type": "string",
"enum": [
"A",
"S",
"Q",
"M",
"W",
"D"
],
"description": "A annual, S semi-annual, Q quarterly, M monthly, W weekly, D daily"
}
},
"coverage": {
"type": "object",
"properties": {
"from": {
"description": "Earliest observed period, e.g. 2002-Q1",
"type": [
"string",
"null"
]
},
"to": {
"description": "Latest observed period",
"type": [
"string",
"null"
]
}
},
"required": [
"from",
"to"
],
"additionalProperties": false
},
"density": {
"type": [
"number",
"null"
]
},
"family": {
"description": "Census table family, e.g. C21_G01",
"type": [
"string",
"null"
]
},
"geography": {
"description": "Geography level for family members, e.g. LGA",
"type": [
"string",
"null"
]
},
"dimensions": {
"type": "array",
"items": {
"type": "string"
},
"description": "Dimension ids in key order"
},
"topics": {
"type": "array",
"items": {
"type": "string"
}
},
"matchedOptions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"dimension": {
"type": "string"
},
"code": {
"type": "string"
},
"label": {
"type": [
"string",
"null"
]
}
},
"required": [
"dimension",
"code",
"label"
],
"additionalProperties": false
}
},
"familyGeographies": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"id",
"name",
"seriesCount",
"frequencies",
"coverage",
"density",
"family",
"geography",
"dimensions",
"topics"
],
"additionalProperties": false
},
"dimensions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"position": {
"type": "integer",
"minimum": -9007199254740991,
"maximum": 9007199254740991
},
"codelist": {
"type": [
"string",
"null"
]
},
"optionCount": {
"type": "integer",
"minimum": -9007199254740991,
"maximum": 9007199254740991
},
"options": {
"type": "array",
"items": {
"type": "object",
"properties": {
"code": {
"type": "string"
},
"label": {
"type": [
"string",
"null"
]
},
"parent": {
"type": [
"string",
"null"
]
}
},
"required": [
"code",
"label"
],
"additionalProperties": false
}
},
"determinedBy": {
"type": [
"string",
"null"
]
}
},
"required": [
"id",
"position",
"codelist",
"optionCount"
],
"additionalProperties": false
}
},
"keyFormat": {
"type": "string",
"description": "Dimension ids joined by '.', the order a selection is serialised in"
},
"exampleUrl": {
"type": "string",
"format": "uri"
},
"provenance": {
"type": "object",
"properties": {
"runId": {
"type": "string"
},
"observedAt": {
"type": "string"
}
},
"required": [
"runId",
"observedAt"
],
"additionalProperties": false
}
},
"required": [
"table",
"dimensions",
"keyFormat",
"exampleUrl",
"provenance"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢search_options(table, dimension, query, limit)
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.
輸入結構描述
{
"type": "object",
"properties": {
"table": {
"type": "string",
"minLength": 1
},
"dimension": {
"type": "string",
"minLength": 1
},
"query": {
"type": "string",
"minLength": 1,
"maxLength": 200,
"description": "Match against option codes and labels"
},
"limit": {
"default": 20,
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"required": [
"table",
"dimension",
"query"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}輸出結構描述
{
"type": "object",
"properties": {
"options": {
"type": "array",
"items": {
"type": "object",
"properties": {
"code": {
"type": "string"
},
"label": {
"type": [
"string",
"null"
]
},
"parent": {
"type": [
"string",
"null"
]
}
},
"required": [
"code",
"label"
],
"additionalProperties": false
}
},
"total": {
"type": "integer",
"minimum": -9007199254740991,
"maximum": 9007199254740991
},
"provenance": {
"type": "object",
"properties": {
"runId": {
"type": "string"
},
"observedAt": {
"type": "string"
}
},
"required": [
"runId",
"observedAt"
],
"additionalProperties": false
}
},
"required": [
"options",
"total",
"provenance"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢get_data(table, select, startPeriod, endPeriod, lastN, ...)
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.
輸入結構描述
{
"type": "object",
"properties": {
"table": {
"type": "string",
"minLength": 1
},
"select": {
"default": {},
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"anyOf": [
{
"type": "string"
},
{
"minItems": 1,
"type": "array",
"items": {
"type": "string"
}
}
]
},
"description": "dimension id -> option code or label (or several). Omitted dimensions match everything."
},
"startPeriod": {
"description": "e.g. 2020, 2020-Q1, 2020-03",
"type": "string"
},
"endPeriod": {
"type": "string"
},
"lastN": {
"description": "Most recent N observations per series; default 12 when no period is given",
"type": "integer",
"minimum": 1,
"maximum": 1000
},
"firstN": {
"type": "integer",
"minimum": 1,
"maximum": 1000
},
"maxRows": {
"default": 500,
"description": "Cap on returned observations",
"type": "integer",
"minimum": 1,
"maximum": 2000
}
},
"required": [
"table"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}輸出結構描述
{
"type": "object",
"properties": {
"table": {
"type": "string"
},
"key": {
"type": "string",
"description": "The resolved selection as an SDMX key"
},
"seriesMatched": {
"type": "integer",
"minimum": -9007199254740991,
"maximum": 9007199254740991
},
"rows": {
"type": "array",
"items": {
"type": "object",
"properties": {
"series": {
"type": "string",
"description": "The series key, e.g. 1.10001.10.50.Q"
},
"period": {
"type": "string"
},
"value": {
"type": [
"number",
"null"
]
},
"unit": {
"type": [
"string",
"null"
]
},
"status": {
"type": [
"string",
"null"
]
}
},
"required": [
"series",
"period",
"value"
],
"additionalProperties": false
}
},
"rowsReturned": {
"type": "integer",
"minimum": -9007199254740991,
"maximum": 9007199254740991
},
"truncated": {
"type": "boolean"
},
"periodRange": {
"type": "object",
"properties": {
"from": {
"description": "Earliest observed period, e.g. 2002-Q1",
"type": [
"string",
"null"
]
},
"to": {
"description": "Latest observed period",
"type": [
"string",
"null"
]
}
},
"required": [
"from",
"to"
],
"additionalProperties": false
},
"fullDataUrl": {
"type": "string",
"format": "uri"
},
"availabilityUrl": {
"type": "string",
"format": "uri"
},
"provenance": {
"type": "object",
"properties": {
"runId": {
"type": "string"
},
"observedAt": {
"type": "string"
}
},
"required": [
"runId",
"observedAt"
],
"additionalProperties": false
}
},
"required": [
"table",
"key",
"seriesMatched",
"rows",
"rowsReturned",
"truncated",
"periodRange",
"fullDataUrl",
"availabilityUrl",
"provenance"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢search(code)
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) }; }
輸入結構描述
{
"type": "object",
"properties": {
"code": {
"type": "string",
"minLength": 1,
"maxLength": 20000,
"description": "JavaScript. `catalogue` is in scope. Must return a value."
}
},
"required": [
"code"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}輸出結構描述
{
"type": "object",
"properties": {
"ok": {
"type": "boolean"
},
"result": {},
"error": {
"type": "string"
},
"logs": {
"type": "array",
"items": {
"type": "string"
}
},
"truncated": {
"type": "boolean"
}
},
"required": [
"ok",
"logs"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢execute(code)
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.
輸入結構描述
{
"type": "object",
"properties": {
"code": {
"type": "string",
"minLength": 1,
"maxLength": 20000,
"description": "JavaScript. `abs` is in scope. Must return a value."
}
},
"required": [
"code"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}輸出結構描述
{
"type": "object",
"properties": {
"ok": {
"type": "boolean"
},
"result": {},
"error": {
"type": "string"
},
"logs": {
"type": "array",
"items": {
"type": "string"
}
},
"truncated": {
"type": "boolean"
}
},
"required": [
"ok",
"logs"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}社群
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