Skip to content
Agentmart
Submit a tool

ABS Data (observed)

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

Connector by SamJB123 · GitHub account verified by the MCP Registry

IndexedLicense unknownRemote (HTTP)
Write a review

Install

Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/samjb123-abs-data

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

  • https://abs-data-front-door.aicolab.workers.dev/mcp Remote (HTTP)

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
4 read · 1 write · 0 delete · 1 not yet classified
Secrets
None asked for
Install scripts
Nothing to install (hosted)
Runs as
Hosted (remote endpoint)

Tools by what they do 6

From the running server's own tool list (tools/list) on Oct 25, 2026.

Read 4 · Look things up without changing anything.

  • describe_table
  • get_data
  • search_options
  • search_tables

Write 1 · Create, change, send or run things.

  • execute

Not yet classified 1 · We could not tell from the name and description.

  • search

Network hosts it talks to 1

  • abs-data-front-door.aicolab.workers.dev · found in remote endpoint, install command

Tools (6)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • describe_tableDescribe a 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.

  • executeFetch and analyse data by writing 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`…

  • get_dataGet data

    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.

  • searchSearch the catalogue by writing 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 { prov…

  • search_optionsSearch a dimension's options

    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_tablesSearch ABS tables

    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.

Signals

Stars
0
Forks
0
Open issues
0
Last commit
Sep 28, 2026 (1 month ago)
Last release
Sep 9, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
io.github.SamJB123/abs-data
Version
0.1.0
Auth
Auth not stated
License
License unknown
Repository
github.com/AI-CoLab/abs-data-mcp
Website
abs-data-front-door.aicolab.workers.dev
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
Official MCP Registrygithub-graphql
Cite this page

ABS Data (observed) MCP server. Agent Mart. https://agentmart.dev/connectors/samjb123-abs-data (last updated 2026-10-24)