publicdata.au
Search, filter, count and sum Australian government open data, with every version kept.
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A
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컨텍스트 비용
~2,125토큰 (도구 정의)
~2.3 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.66%)
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"mcp": {
"url": "https://publicdata.au/mcp"
}
}
}원격 엔드포인트
https://publicdata.au/mcpstreamable-http할 수 있는 일
도구 목록
도구 (8)
🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢search_datasets(query)
Find datasets on publicdata.au by title, publisher or field name. Returns slug, title, publisher, licence, dataset page and the latest download URL.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Words from a title, publisher or field name"
}
},
"required": [
"query"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"publisher": {
"type": [
"string",
"null"
]
},
"licence": {
"type": [
"string",
"null"
]
},
"page": {
"type": [
"string",
"null"
]
},
"latest": {
"type": [
"string",
"null"
]
}
},
"required": [
"slug",
"title"
]
}
}
},
"required": [
"results"
]
}🟢get_dataset(slug)
Read one dataset: its Frictionless data package (fields, types, licence, attribution, download URLs) and every version.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Dataset slug from search_datasets"
}
},
"required": [
"slug"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"datapackage": {
"type": "object"
},
"versions": {}
},
"required": [
"datapackage",
"versions"
]
}🟢list_partitions(slug, field)
List the per-value download files of a dataset for one partition field, with the row count and URL of each, to download a slice of the data.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Dataset slug from search_datasets"
},
"field": {
"type": "string",
"description": "A partition field named in the data package, for example crash_year or loc_local_government_area"
}
},
"required": [
"slug",
"field"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"field": {
"type": "string"
},
"version_base": {
"type": "string"
},
"partitions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"value": {},
"rows": {
"type": "integer"
},
"url": {
"type": "string"
}
},
"required": [
"value",
"rows",
"url"
]
}
}
},
"required": [
"field",
"version_base",
"partitions"
]
}🟢query_rows(slug, where, select, order, limit, ...)
Return rows from a dataset, filtered across the whole table by the query API. Returns up to limit rows, the number of rows that match, the offset of the next page, the version answered and the attribution string.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Dataset slug from search_datasets"
},
"where": {
"type": "object",
"description": "Filters by field name, applied to the whole table. A value may be a scalar for an exact, case-sensitive match, a list of scalars to match any of them, null to match blank or suppressed cells, {\"min\": n, \"max\": n} for an inclusive range, or {\"like\": \"*text*\"} for a case-insensitive match where * is the wildcard. A blank cell never matches a scalar, a list or a range.",
"additionalProperties": true
},
"select": {
"type": "array",
"items": {
"type": "string"
},
"description": "Fields to return. Every field when absent."
},
"order": {
"type": "string",
"description": "field.asc or field.desc, comma-separated. The publisher's row order when absent."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 500,
"default": 50,
"description": "Rows to return, 1 to 500. 50 when absent."
},
"offset": {
"type": "integer",
"minimum": 0,
"default": 0,
"description": "Rows to skip. next_offset in each answer gives the next page."
},
"version": {
"type": "string",
"description": "A version date, YYYY-MM-DD, from get_dataset. The newest version loaded for queries when absent."
}
},
"required": [
"slug"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"version": {
"type": [
"string",
"null"
]
},
"rows": {
"type": "array",
"items": {
"type": "object"
}
},
"matched": {
"type": "integer"
},
"next_offset": {
"type": [
"integer",
"null"
]
},
"query": {
"type": "string"
},
"attribution": {
"type": [
"string",
"null"
]
}
},
"required": [
"version",
"rows",
"matched",
"next_offset",
"query"
]
}🟢count_rows(slug, group_by, metric, where, limit, ...)
Count rows in a dataset, or sum, average, min or max a field, grouped by up to three fields and filtered across the whole table by the query API. Returns groups sorted from largest, the number of rows that match, the version answered and the attribution string.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Dataset slug from search_datasets"
},
"group_by": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 3,
"description": "Fields to group by, for example [\"crash_severity\"]. One total when absent."
},
"metric": {
"type": "string",
"default": "count",
"description": "count, or sum, avg, min or max of a field written as sum.field_name. count when absent."
},
"where": {
"type": "object",
"description": "Filters by field name, applied to the whole table. A value may be a scalar for an exact, case-sensitive match, a list of scalars to match any of them, null to match blank or suppressed cells, {\"min\": n, \"max\": n} for an inclusive range, or {\"like\": \"*text*\"} for a case-insensitive match where * is the wildcard. A blank cell never matches a scalar, a list or a range.",
"additionalProperties": true
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 1000,
"default": 100,
"description": "Groups to return, 1 to 1000. 100 when absent."
},
"version": {
"type": "string",
"description": "A version date, YYYY-MM-DD, from get_dataset. The newest version loaded for queries when absent."
}
},
"required": [
"slug"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"version": {
"type": [
"string",
"null"
]
},
"group_by": {
"type": "array",
"items": {
"type": "string"
}
},
"metric": {
"type": "string"
},
"groups": {
"type": "array",
"items": {
"type": "object"
}
},
"truncated": {
"type": "boolean"
},
"matched": {
"type": "integer"
},
"query": {
"type": "string"
},
"attribution": {
"type": [
"string",
"null"
]
}
},
"required": [
"version",
"group_by",
"metric",
"groups",
"truncated",
"matched",
"query"
]
}🟢diff_versions(slug, from, to)
Compare two versions of a dataset by its key: rows added, removed and changed.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Dataset slug from search_datasets"
},
"from": {
"type": "string",
"description": "Older version date, YYYY-MM-DD"
},
"to": {
"type": "string",
"description": "Newer version date, YYYY-MM-DD"
}
},
"required": [
"slug",
"from",
"to"
],
"additionalProperties": false
}출력 스키마
{
"type": "object"
}🟢search_catalogue(query, jurisdiction, votable_only)
Search every dataset on Australia's government portals. A row's state says whether it can take a vote; pass its vote key to vote.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Words from a title, description or publisher"
},
"jurisdiction": {
"type": "string",
"enum": [
"cth",
"nsw",
"vic",
"qld",
"wa",
"sa",
"tas",
"act",
"nt"
],
"description": "One government. All when absent."
},
"votable_only": {
"type": "boolean",
"default": false,
"description": "Leave out records that cannot take a vote"
}
},
"required": [
"query"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"catalogue_read": {
"type": "string"
},
"records": {
"type": "integer"
},
"total": {
"type": "integer"
},
"next_offset": {
"type": [
"integer",
"null"
]
},
"rows": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"summary": {
"type": "string"
},
"publisher": {
"type": "string"
},
"publisher_page": {
"type": "string"
},
"jur": {
"type": "string"
},
"url": {
"type": "string"
},
"licence": {
"type": "string"
},
"formats": {
"type": "string"
},
"modified": {
"type": "string"
},
"state": {
"type": "string",
"enum": [
"votable",
"chosen",
"served",
"closed"
]
},
"vote": {
"type": "string"
},
"page": {
"type": "string"
},
"reason": {
"type": [
"string",
"null"
]
}
},
"required": [
"id",
"title",
"state",
"vote"
]
}
}
},
"required": [
"catalogue_read",
"rows"
]
}🟡vote(slug)
Add one vote so a dataset is built sooner. No identity is recorded, and each browser counts once a day.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "The vote key of a search_catalogue row, or a backlog slug from /backlog.json"
}
},
"required": [
"slug"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"votes": {
"type": "integer"
}
},
"required": [
"slug",
"votes"
]
}커뮤니티
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