Australian Economic Data (ABS, RBA & APRA)
PYPI · AUSECON-MCP-SERVER · 2 COMPONENTS · SCANNED SEP 20
Australian economic data from the ABS, RBA, and APRA: CPI, GDP, cash rate, labour, and more.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 2 of 28 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 17 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability83
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 2197 tokens (~137/item across 16 items; 14 tools + 2 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management87
- Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 14 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 16 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
How do I install the Australian Economic Data (ABS, RBA & APRA) MCP server?
Australian Economic Data (ABS, RBA & APRA) runs locally as a PyPI package, launched with uvx ausecon-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · ausecon-mcp-server
claude mcp add anthonypuggs-ausecon-mcp-server -- uvx ausecon-mcp-server
{
"mcpServers": {
"anthonypuggs-ausecon-mcp-server": {
"command": "uvx",
"args": [
"ausecon-mcp-server"
]
}
}
} {
"servers": {
"anthonypuggs-ausecon-mcp-server": {
"command": "uvx",
"args": [
"ausecon-mcp-server"
]
}
}
} codex mcp add anthonypuggs-ausecon-mcp-server -- uvx ausecon-mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"anthonypuggs-ausecon-mcp-server": {
"type": "local",
"command": [
"uvx",
"ausecon-mcp-server"
],
"enabled": true
}
}
} openclaw mcp add anthonypuggs-ausecon-mcp-server --command uvx --arg ausecon-mcp-server
mcp_servers:
anthonypuggs-ausecon-mcp-server:
command: "uvx"
args: ["ausecon-mcp-server"] {
"McpServers": {
"anthonypuggs-ausecon-mcp-server": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"ausecon-mcp-server"
]
}
}
} assistant mcp add anthonypuggs-ausecon-mcp-server -t stdio -c uvx -a ausecon-mcp-server
{
"mcpServers": {
"anthonypuggs-ausecon-mcp-server": {
"command": "uvx",
"args": [
"ausecon-mcp-server"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 −2
- Security disclosure: unverified → fail ▼ functional
- Stability: pass → 0.80 functional
- 17 Sept 26 0
- Stability: 0.97 → pass security
- Security disclosure: fail → unverified ▼ functional
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 −2
- Stability: pass → 0.80 functional
- 10 Sept 26 0
- Stability: 0.97 → pass security
- 9 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Analysed pypi/ausecon-mcp-server@1.14.5
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 28 packages
| Packages resolved | 28 |
|---|---|
| Stale | 2 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
describe_dataset Describe Dataset ~103
Describe a source-native ABS, RBA, or APRA dataset without hiding native IDs.
| Name | Type | Req | Description |
|---|---|---|---|
| identifier | string | yes | Non-empty dataset or table id. |
| include_structure | boolean | – | Whether ABS descriptions should include source-native structure details. |
| source | string | yes | Source selector. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority. |
| table_id | – | – | Non-empty dataset or table id. |
Structured output declared, but exposes no named fields.
No examples provided.
get_abs_data Get ABS Data ~193
Expert/source-native ABS SDMX retrieval in a normalised response shape.
| Name | Type | Req | Description |
|---|---|---|---|
| dataflow_id | string | yes | Non-empty dataset or table id. |
| end_period | – | – | Optional ABS period bound in YYYY, YYYY-QN, YYYY-MM, or YYYY-SN format. |
| include_observation_dimensions | boolean | – | Whether to repeat the full dimension dict on every observation. Off by default because the same dimensions already appear on each series descriptor and are encoded in series_id. |
| key | string | – | ABS SDMX key, or "all" for all series. |
| last_n | – | – | Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped. |
| start_period | – | – | Optional ABS period bound in YYYY, YYYY-QN, YYYY-MM, or YYYY-SN format. |
| updated_after | – | – | Optional ISO date or datetime accepted by the ABS updatedAfter API. |
| Name | Type | Req | Description |
|---|---|---|---|
| metadata | object | yes | Source, provenance, cache, and retrieval metadata for this response. |
| observations | array | yes | Long-form observations keyed by date and series_id. |
| series | array | yes | Series descriptors keyed by series_id. |
No examples provided.
get_abs_dataset_structure Get ABS Dataset Structure ~36
Get ABS SDMX dataset dimensions and codelists.
| Name | Type | Req | Description |
|---|---|---|---|
| dataflow_id | string | yes | Non-empty dataset or table id. |
| Name | Type | Req | Description |
|---|---|---|---|
| dimensions | array | – | Dataset dimensions with positions and allowed values. |
| id | string | – | Resolved ABS data structure identifier. |
No examples provided.
get_apra_data Get APRA Data ~179
Expert/source-native APRA public XLSX publication retrieval. Only curated official APRA publication IDs are accepted; arbitrary URLs are not.
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | – | – | Optional ISO date bound in YYYY-MM-DD format. |
| include_observation_dimensions | boolean | – | Whether to repeat the full dimension dict on every observation. Off by default because the same dimensions already appear on each series descriptor and are encoded in series_id. |
| last_n | – | – | Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped. |
| publication_id | string | yes | Non-empty dataset or table id. |
| series_ids | – | – | Optional list of non-empty source-native series IDs to keep after download. |
| start_date | – | – | Optional ISO date bound in YYYY-MM-DD format. |
| table_id | – | – | Non-empty dataset or table id. |
| Name | Type | Req | Description |
|---|---|---|---|
| metadata | object | yes | Source, provenance, cache, and retrieval metadata for this response. |
| observations | array | yes | Long-form observations keyed by date and series_id. |
| series | array | yes | Series descriptors keyed by series_id. |
No examples provided.
get_derived_series Get Derived Series ~172
Read-only retrieval for the narrow transparent derived series layer. Date bounds accept YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD and are normalised to the derived series frequency.
| Name | Type | Req | Description |
|---|---|---|---|
| concept | string | yes | Derived concept name. |
| end | – | – | Optional analyst-friendly bound for a derived series: YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD. Bounds are normalised to the derived series frequency. |
| last_n | – | – | Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped. |
| start | – | – | Optional analyst-friendly bound for a derived series: YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD. Bounds are normalised to the derived series frequency. |
| Name | Type | Req | Description |
|---|---|---|---|
| metadata | object | yes | Source, provenance, cache, and retrieval metadata for this response. |
| observations | array | yes | Long-form observations keyed by date and series_id. |
| series | array | yes | Series descriptors keyed by series_id. |
No examples provided.
get_economic_series Get Economic Series ~275
Preferred analyst-facing retrieval tool for curated ABS/RBA economic concepts. Use list_economic_concepts for discovery. Date bounds accept YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD and are normalised to the resolved source.
| Name | Type | Req | Description |
|---|---|---|---|
| concept | string | yes | Curated semantic concept name. |
| end | – | – | Optional analyst-friendly date bound: YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD. Semantic retrieval normalises this to the resolved source frequency. |
| frequency | – | – | Optional requested frequency for a curated concept, such as monthly, quarterly, or annual. |
| geography | – | – | Optional geography selector for a curated concept, usually aus for Australia. |
| include_observation_dimensions | boolean | – | Whether to repeat the full dimension dict on every observation. Off by default because the same dimensions already appear on each series descriptor and are encoded in series_id. |
| last_n | – | – | Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped. |
| start | – | – | Optional analyst-friendly date bound: YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD. Semantic retrieval normalises this to the resolved source frequency. |
| variant | – | – | Optional curated concept variant, such as headline, underlying, or target. |
| Name | Type | Req | Description |
|---|---|---|---|
| metadata | object | yes | Source, provenance, cache, and retrieval metadata for this response. |
| observations | array | yes | Long-form observations keyed by date and series_id. |
| series | array | yes | Series descriptors keyed by series_id. |
No examples provided.
get_latest_observations Get Latest Observations ~186
Source-aware convenience wrapper for the latest observations. For a single curated indicator prefer get_economic_series(concept=...), which resolves one series; pass series_ids=[...] to narrow a broad dataset instead of returning every series it contains.
| Name | Type | Req | Description |
|---|---|---|---|
| count | integer | – | Number of most recent observations to return per series; metadata.truncated is true when older observations were dropped. |
| identifier | string | yes | Non-empty dataset or table id. |
| key | string | – | ABS SDMX key, or "all" for all series. |
| series_ids | – | – | Optional list of non-empty source-native series IDs to keep after download. |
| source | string | yes | Source selector. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority. |
| table_id | – | – | Non-empty dataset or table id. |
| Name | Type | Req | Description |
|---|---|---|---|
| metadata | object | yes | Source, provenance, cache, and retrieval metadata for this response. |
| observations | array | yes | Long-form observations keyed by date and series_id. |
| series | array | yes | Series descriptors keyed by series_id. |
No examples provided.
get_rba_table Get RBA Table ~156
Expert/source-native RBA statistical table retrieval in a normalised response shape.
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | – | – | Optional ISO date bound in YYYY-MM-DD format. |
| include_observation_dimensions | boolean | – | Whether to repeat the full dimension dict on every observation. Off by default because the same dimensions already appear on each series descriptor and are encoded in series_id. |
| last_n | – | – | Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped. |
| series_ids | – | – | Optional list of non-empty source-native series IDs to keep after download. |
| start_date | – | – | Optional ISO date bound in YYYY-MM-DD format. |
| table_id | string | yes | Non-empty dataset or table id. |
| Name | Type | Req | Description |
|---|---|---|---|
| metadata | object | yes | Source, provenance, cache, and retrieval metadata for this response. |
| observations | array | yes | Long-form observations keyed by date and series_id. |
| series | array | yes | Series descriptors keyed by series_id. |
No examples provided.
get_top_observations Get Top Observations ~267
Source-aware convenience wrapper for highest or lowest numeric observations. For a single curated indicator prefer get_economic_series(concept=...), which resolves one series; pass series_ids=[...] to narrow a broad dataset instead of returning every series it contains.
| Name | Type | Req | Description |
|---|---|---|---|
| direction | string | – | Whether to return the highest or lowest numeric observations. |
| end_date | – | – | Optional ISO date bound in YYYY-MM-DD format. |
| end_period | – | – | Optional ABS period bound in YYYY, YYYY-QN, YYYY-MM, or YYYY-SN format. |
| identifier | string | yes | Non-empty dataset or table id. |
| key | string | – | ABS SDMX key, or "all" for all series. |
| n | integer | – | Positive observation count. |
| series_ids | – | – | Optional list of non-empty source-native series IDs to keep after download. |
| source | string | yes | Source selector. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority. |
| start_date | – | – | Optional ISO date bound in YYYY-MM-DD format. |
| start_period | – | – | Optional ABS period bound in YYYY, YYYY-QN, YYYY-MM, or YYYY-SN format. |
| table_id | – | – | Non-empty dataset or table id. |
| Name | Type | Req | Description |
|---|---|---|---|
| metadata | object | yes | Source, provenance, cache, and retrieval metadata for this response. |
| observations | array | yes | Long-form observations keyed by date and series_id. |
| series | array | yes | Series descriptors keyed by series_id. |
No examples provided.
list_catalogue List Catalogue ~133
List curated ABS, RBA, and APRA catalogue entries, optionally filtered by source, category, or tag. Unranked complement to ``search_datasets``.
| Name | Type | Req | Description |
|---|---|---|---|
| category | – | – | Optional curated catalogue or semantic concept category filter. |
| include_ceased | boolean | – | Whether to include ceased ABS catalogue entries. |
| include_discontinued | boolean | – | Whether to include discontinued RBA catalogue entries. |
| source | – | – | Optional source filter. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority. |
| tag | – | – | Optional curated catalogue tag filter. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | Curated ABS, RBA, and APRA catalogue entries. |
No examples provided.
list_economic_concepts List Economic Concepts ~83
List analyst-friendly semantic economic concepts accepted by get_economic_series.
| Name | Type | Req | Description |
|---|---|---|---|
| category | – | – | Optional curated catalogue or semantic concept category filter. |
| query | – | – | Optional query for filtering semantic economic concepts. |
| source | – | – | Optional source filter. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | Curated semantic economic concepts. |
No examples provided.
list_rba_tables List RBA Tables ~51
Deprecated compatibility alias. Prefer list_catalogue(source="rba").
| Name | Type | Req | Description |
|---|---|---|---|
| category | – | – | Optional RBA catalogue category filter. |
| include_discontinued | boolean | – | Whether to include discontinued RBA catalogue entries. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | Curated RBA table catalogue entries. |
No examples provided.
list_release_events List Release Events ~106
List source-aware release calendar or release-pulse events.
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | – | – | Optional ISO date bound in YYYY-MM-DD format. |
| limit | integer | – | Positive observation count. |
| query | – | – | Optional query for filtering semantic economic concepts. |
| source | – | – | Optional source filter. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority. |
| start_date | – | – | Optional ISO date bound in YYYY-MM-DD format. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | ABS, RBA, and APRA release calendar events. |
No examples provided.
search_datasets Search Datasets ~66
Search curated ABS, RBA, and APRA economic datasets.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | Discovery query text. |
| source | – | – | Optional source filter. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | Ranked ABS, RBA, and APRA catalogue search results. |
No examples provided.
What is the Australian Economic Data (ABS, RBA & APRA) MCP server?
Australian Economic Data (ABS, RBA & APRA) is an MCP server listed in the public MCP registry as io.github.AnthonyPuggs/ausecon-mcp-server. Australian economic data from the ABS, RBA, and APRA: CPI, GDP, cash rate, labour, and more. This page covers its PyPI package (ausecon-mcp-server).
Is the Australian Economic Data (ABS, RBA & APRA) MCP server safe to use?
Australian Economic Data (ABS, RBA & APRA) scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Australian Economic Data (ABS, RBA & APRA) MCP server expose?
Australian Economic Data (ABS, RBA & APRA) exposes 14 tools: search_datasets, list_catalogue, list_economic_concepts, get_abs_dataset_structure, get_abs_data, and 9 more. Their descriptions and schemas cost roughly 2,006 tokens of context every time the server is loaded.
Is the Australian Economic Data (ABS, RBA & APRA) MCP server still maintained?
Australian Economic Data (ABS, RBA & APRA) is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.