MCP server

ABS Data (observed)

io.github.SamJB123/abs-data

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

6

Token cost

About 2,205 tokens per request

Sets up in

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

Last checked

25 Oct 2026, 20:29 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 abs-data https://abs-data-front-door.aicolab.workers.dev/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.abs-data]
url = "https://abs-data-front-door.aicolab.workers.dev/mcp"

Gemini CLI

{"mcpServers":{"abs-data":{"httpUrl":"https://abs-data-front-door.aicolab.workers.dev/mcp"}}}

Cursor

{"mcpServers":{"abs-data":{"url":"https://abs-data-front-door.aicolab.workers.dev/mcp"}}}

VS Code

{"servers":{"abs-data":{"type":"http","url":"https://abs-data-front-door.aicolab.workers.dev/mcp"}}}

Antigravity

agy mcp add abs-data https://abs-data-front-door.aicolab.workers.dev/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":"abs-data","server_url":"https://abs-data-front-door.aicolab.workers.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"abs-data","server_url":"https://abs-data-front-door.aicolab.workers.dev/mcp"}

Tools

• describe_table ~137 tokens
  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.
• execute ~661 tokens
  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 analys
• get_data ~400 tokens
  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
• search ~511 tokens
  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
• search_options ~173 tokens
  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.
• search_tables ~323 tokens
  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 publ

Browse

• GitHub tools
• GitHub and code hosting
• Running code
• Government and public data

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