ABS Data API MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ABS Data API MCP ServerSearch ABS for CPI data for Sydney"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ABS Data API — cartography and front door
The Australian Bureau of Statistics Data API is valuable and badly described. This project measured what it actually serves — every dataflow, by retrieval — and exposes the result as a typed front door: an MCP server and an HTTP API that only ever offer what exists.

Front door | |
Add to claude.ai / any MCP client as a connector |
|
MCP (2026-07-28, stateless) — 4 fixed verbs + Code Mode |
|
RPC door (Cap'n Web; what |
|
HTTP API |
|
Scalar reference | |
Corrected OpenAPI | https://abs-data-front-door.aicolab.workers.dev/api/openapi.json |
The menu as one document | https://abs-data-front-door.aicolab.workers.dev/api/catalogue.json |
Live browsable catalogue | |
Static snapshot (claude.ai artifact) | https://claude.ai/code/artifact/d0635dee-5cce-40dd-bfa2-7ab7dd03e5bd |
What was found
621,536,714 series exist across 1,227 dataflows. ABS's metadata implies 14,761,557,818 — a density of 4.21%, overstated 23.8×.
The per-dimension metadata is exact: every advertised option exists, and nothing real is unadvertised. The entire overstatement is combinatorial.
81.0% of series sit in flows whose sparsity is principled and verified in the keys — almost entirely hierarchical geography encoded as separate dimensions (
STATEis a function ofREGIONin 664 flows). The remaining 19% is not reducible to a single-dimension dependency.detail=serieskeysonly— the endpoint that should answer "what exists" — is broken (HTTP 200, malformed JSON). Eight of fifteen documented behaviours do not conform. Seereports/.
DESIGN.md is the full record: verified API findings, every decision and why,
and the corrections made along the way.
Related MCP server: Australian Bureau of Statistics
Layout
packages/schema Drizzle schema (declared vs observed, never joined), shared CSV/period parsing
packages/crawler structural crawl, observed probe, conformance suite, sizing
packages/catalogue delta report, sparsity analysis, contract generator, OpenAPI emitter, artifact
packages/contract the corrected contract: stable Zod verbs + generated tables/options (per crawl)
packages/worker the front door: MCP door (SDK v2) + HTTP door (oRPC + Scalar) + RPC door (Cap'n Web) on one Worker
packages/sdk @abs/sdk — typed TypeScript client over the RPC door (connect(), invalidSelectionFromError())
reports/ delta.md/json, sparsity.md/json, openapi.json, abs-report-draft.md
data/ local SQLite catalogue (~400GB), raw archive, D1 import SQL — not committedRunning it
pnpm install
pnpm db:migrate # local SQLite at data/abs-catalogue.sqlite
pnpm crawl:structural # 7 bulk requests, ~1 minute
pnpm crawl:probe -- '--key-values=*' # every dataflow by retrieval; ~24h, 20GB heap for the giants
pnpm report:delta && pnpm report:sparsity
pnpm generate:contract # -> packages/contract/src/generated, data/d1/*.sql
pnpm --filter @abs/catalogue emit:openapi
cd packages/worker
npx wrangler d1 execute abs-catalogue --local --file=../../data/d1/00-schema.sql # then each data file
npx wrangler dev
ABS_MCP_URL=http://localhost:8787/mcp npx tsx test/protocol.ts # ~50 checks, all doors
pnpm --filter @abs/sdk example # the SDK against production
ABS_URL=http://localhost:8787 npx tsx test/limits.ts # rate limits (spends a minute's budget)Rate limits, per client address: 600 requests/min overall; 120/min for data
pulls (each is a live ABS call); 20/min for Code Mode execute. Over the limit,
HTTP doors answer 429 with Retry-After; an MCP tool call gets a tool error.
Using the SDK from TypeScript:
import { connect, invalidSelectionFromError } from "@abs/sdk";
const abs = connect(); // https://abs-data-front-door.aicolab.workers.dev/rpc
const [hits, cpi] = await Promise.all([ // one HTTP batch
abs.searchTables({ query: "cpi rent", limit: 3 }),
abs.describeTable("CPI"),
]);
try {
const data = await abs.getData({ table: "CPI", select: { REGION: "Sydney", INDEX: "10001" }, lastN: 4 });
} catch (err) {
const invalid = invalidSelectionFromError(err); // typed: reason, dimension, validOptions from observation
}The probe is resumable: rerunning skips flows already recorded as complete. For
the largest census flows run with NODE_OPTIONS=--max-old-space-size=20480.
Gotcha: wrangler keys the local D1 state by database_id. Changing the id in
wrangler.toml (e.g. after d1 create) gives wrangler dev a fresh, empty
local database — re-run the local import.
Principles
Observed-only. Declared metadata steers the crawler and feeds the defect report; it never enters what a caller sees. Availability is empirical: observed options from the catalogue, exact combination checks live against ABS's
availableconstraint(which agrees with the probe on every dimension of every flow).One contract, derived doors. Every crawl regenerates one contract; the MCP verbs, the HTTP routes, the OpenAPI document and the docs all read or render it. Nothing hardcodes the surface, so nothing drifts.
Only calls that return data. A selection is verified before it is forwarded; an invalid one comes back with the observed valid options — as an MRTR
input_requiredon MCP, a typed 422 on HTTP.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
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