MCP server

publicdata.au Official

au.publicdata/mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Search, filter, count and sum Australian government open data, with every version kept.

Website Source

At a glance

Type

MCP server

Publisher

publicdata.au (verified by the MCP Registry)

Status

Working at last check

Tools

12

Token cost

About 3,728 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http publicdata https://publicdata.au/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.publicdata]
url = "https://publicdata.au/mcp"

Gemini CLI

{"mcpServers":{"publicdata":{"httpUrl":"https://publicdata.au/mcp"}}}

Cursor

{"mcpServers":{"publicdata":{"url":"https://publicdata.au/mcp"}}}

VS Code

{"servers":{"publicdata":{"type":"http","url":"https://publicdata.au/mcp"}}}

Antigravity

agy mcp add publicdata https://publicdata.au/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"publicdata","server_url":"https://publicdata.au/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"publicdata","server_url":"https://publicdata.au/mcp"}

Tools

• count_rows ~575 tokens
  Count, sum, average, minimum or maximum rows of a served dataset across the whole table, grouped by up to three fields. For the rows themselves use query_rows. Field names and values for group_by and where come from list_fields. sum and avg need a numeric or true-or-false field. min and max take any
• diff_versions ~299 tokens
  Compare two consecutive versions of a served dataset row by row on its key fields, to see what a publisher changed between releases. from and to must be adjacent dates in the version history from get_dataset, older first. Any other pair returns a 404 error, so step through a longer span one pair at
• fetch ~229 tokens
  Read one served dataset's record as text to quote and cite: its summary, publisher, licence, attribution string, newest version and the URL of that version. It is the fetch that ChatGPT deep research and company knowledge call, with an id from search. It carries no rows. To answer from the data use
• get_dataset ~224 tokens
  Read a served dataset's data package and full version history: licence, attribution, whole-table files and the version dates diff_versions and the version parameter take. It carries no rows. To answer from the rows use query_rows or count_rows, and for field names use list_fields. slug is lowercase
• list_backlog ~175 tokens
  List the datasets people have asked publicdata.au to build, most votes first. Use it to see what is wanted or under way, or to check that a vote counted. To add a vote use upvote_dataset. To read a dataset that is already served use search_datasets. Votes on catalogue records that no entry has claim
• list_fields ~248 tokens
  List a served dataset's fields, with their types, descriptions, ranges and values, before querying it. Call it before query_rows or count_rows unless you already know the exact names and values, because where matches values exactly and an unknown field is an error. It also names the key fields diff_
• list_partitions ~253 tokens
  List the download files that split a served dataset's newest version by one field, such as one file per year. Use it to hand someone a slice of the data as a file. It gives file links and no rows, so to answer a question use query_rows or count_rows instead, and for the whole table as one file use g
• query_rows ~693 tokens
  Read individual rows of a served dataset, filtered across the whole table. For totals and breakdowns use count_rows, and for files use get_dataset or list_partitions. Field names and values for where, select and order come from list_fields. Filters hold at most 90 values per call, and a list value c
• search ~214 tokens
  Find served datasets by keyword and return each one's id, title and citation URL, in the shape ChatGPT deep research and company knowledge call search with. It runs the same search as search_datasets, so every word in query must match. Pass an id to fetch to read the dataset's licence, attribution a
• search_catalogue ~348 tokens
  Search every dataset listed on Australia's government portals, including the many publicdata.au does not serve yet. Its records describe data held elsewhere, which cannot be queried here. Use it when search_datasets finds nothing, to find where a dataset is published, or to pick one for upvote_datas
• search_datasets ~221 tokens
  Find the slug of a served dataset. Start here for any question about Australian government data, since the other tools read only the datasets this finds. Every word in query must match the title, summary, publisher, keywords or a field name. A word matches its plural and other endings but never as a
• upvote_dataset ~249 tokens
  Add one anonymous vote for a government dataset that publicdata.au does not serve yet, so it is built sooner. To read a served dataset use search_datasets, and to see the votes so far use list_backlog. slug is a vote key from search_catalogue, such as act-3u5a-ve4j, or a list_backlog slug. A dataset

Browse

• Government and public data

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