accueil / serveurs / Données & BDD / io.github.AnthonyPuggs/ausecon-mcp-server
io.github.AnthonyPuggs/ausecon-mcp-server
serveur MCP (Model Context Protocol) · ausecon-mcp-server 1.14.5
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que io.github.AnthonyPuggs/ausecon-mcp-server est sûr ?
Au dernier audit MCP Hub, le serveur MCP « io.github.AnthonyPuggs/ausecon-mcp-server » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 14 outils
- describe_dataset≈ 312 tokens
Describe a source-native ABS, RBA, or APRA dataset without hiding native IDs.
Paramètres, retour & exemple (4)
Paramètressource· string · requis · abs | rba | apra
Source selector. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority.table_id· ? · optionnel
Non-empty dataset or table id.identifier· string · requis
Non-empty dataset or table id.include_structure· boolean · optionnel
Whether ABS descriptions should include source-native structure details.
Exemple d'appel{"name": "describe_dataset", "arguments": {"source": "abs", "identifier": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_abs_data≈ 2630 tokens
Expert/source-native ABS SDMX retrieval in a normalised response shape.
Paramètres, retour & exemple (7)
Paramètreskey· string · optionnel
ABS SDMX key, or "all" for all series.last_n· ? · optionnel
Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped.end_period· ? · optionnel
Optional ABS period bound in YYYY, YYYY-QN, YYYY-MM, or YYYY-SN format.dataflow_id· string · requis
Non-empty dataset or table id.start_period· ? · optionnel
Optional ABS period bound in YYYY, YYYY-QN, YYYY-MM, or YYYY-SN format.updated_after· ? · optionnel
Optional ISO date or datetime accepted by the ABS updatedAfter API.include_observation_dimensions· boolean · optionnel
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.
Exemple d'appel{"name": "get_abs_data", "arguments": {"dataflow_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"series": [], "metadata": {}, "observations": []}} - get_abs_dataset_structure≈ 227 tokens
Get ABS SDMX dataset dimensions and codelists.
Paramètres, retour & exemple (1)
Paramètresdataflow_id· string · requis
Non-empty dataset or table id.
Exemple d'appel{"name": "get_abs_dataset_structure", "arguments": {"dataflow_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"id": "texte", "dimensions": []}} - get_apra_data≈ 2638 tokens
Expert/source-native APRA public XLSX publication retrieval. Only curated official APRA publication IDs are accepted; arbitrary URLs are not.
Paramètres, retour & exemple (7)
Paramètreslast_n· ? · optionnel
Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped.end_date· ? · optionnel
Optional ISO date bound in YYYY-MM-DD format.table_id· ? · optionnel
Non-empty dataset or table id.series_ids· ? · optionnel
Optional list of non-empty source-native series IDs to keep after download.start_date· ? · optionnel
Optional ISO date bound in YYYY-MM-DD format.publication_id· string · requis
Non-empty dataset or table id.include_observation_dimensions· boolean · optionnel
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.
Exemple d'appel{"name": "get_apra_data", "arguments": {"publication_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"series": [], "metadata": {}, "observations": []}} - get_derived_series≈ 2521 tokens
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.
Paramètres, retour & exemple (4)
Paramètresend· ? · optionnel
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.start· ? · optionnel
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· ? · optionnel
Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped.concept· string · requis
Derived concept name.
Exemple d'appel{"name": "get_derived_series", "arguments": {"concept": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"series": [], "metadata": {}, "observations": []}} - get_economic_series≈ 2736 tokens
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.
Paramètres, retour & exemple (8)
Paramètresend· ? · optionnel
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.start· ? · optionnel
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.last_n· ? · optionnel
Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped.concept· string · requis
Curated semantic concept name.variant· ? · optionnel
Optional curated concept variant, such as headline, underlying, or target.frequency· ? · optionnel
Optional requested frequency for a curated concept, such as monthly, quarterly, or annual.geography· ? · optionnel
Optional geography selector for a curated concept, usually aus for Australia.include_observation_dimensions· boolean · optionnel
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.
Exemple d'appel{"name": "get_economic_series", "arguments": {"concept": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"series": [], "metadata": {}, "observations": []}} - get_latest_observations≈ 2602 tokens
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.
Paramètres, retour & exemple (6)
Paramètreskey· string · optionnel
ABS SDMX key, or "all" for all series.count· integer · optionnel
Number of most recent observations to return per series; metadata.truncated is true when older observations were dropped.source· string · requis · abs | rba | apra
Source selector. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority.table_id· ? · optionnel
Non-empty dataset or table id.identifier· string · requis
Non-empty dataset or table id.series_ids· ? · optionnel
Optional list of non-empty source-native series IDs to keep after download.
Exemple d'appel{"name": "get_latest_observations", "arguments": {"source": "abs", "identifier": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"series": [], "metadata": {}, "observations": []}} - get_rba_table≈ 2572 tokens
Expert/source-native RBA statistical table retrieval in a normalised response shape.
Paramètres, retour & exemple (6)
Paramètreslast_n· ? · optionnel
Optional limit returning only the most recent N observations per series; metadata.truncated is true when older observations were dropped.end_date· ? · optionnel
Optional ISO date bound in YYYY-MM-DD format.table_id· string · requis
Non-empty dataset or table id.series_ids· ? · optionnel
Optional list of non-empty source-native series IDs to keep after download.start_date· ? · optionnel
Optional ISO date bound in YYYY-MM-DD format.include_observation_dimensions· boolean · optionnel
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.
Exemple d'appel{"name": "get_rba_table", "arguments": {"table_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"series": [], "metadata": {}, "observations": []}} - get_top_observations≈ 2826 tokens
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.
Paramètres, retour & exemple (11)
Paramètresn· integer · optionnel
Positive observation count.key· string · optionnel
ABS SDMX key, or "all" for all series.source· string · requis · abs | rba | apra
Source selector. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority.end_date· ? · optionnel
Optional ISO date bound in YYYY-MM-DD format.table_id· ? · optionnel
Non-empty dataset or table id.direction· string · optionnel · highest | lowest
Whether to return the highest or lowest numeric observations.end_period· ? · optionnel
Optional ABS period bound in YYYY, YYYY-QN, YYYY-MM, or YYYY-SN format.identifier· string · requis
Non-empty dataset or table id.series_ids· ? · optionnel
Optional list of non-empty source-native series IDs to keep after download.start_date· ? · optionnel
Optional ISO date bound in YYYY-MM-DD format.start_period· ? · optionnel
Optional ABS period bound in YYYY, YYYY-QN, YYYY-MM, or YYYY-SN format.
Exemple d'appel{"name": "get_top_observations", "arguments": {"source": "abs", "identifier": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"series": [], "metadata": {}, "observations": []}} - list_catalogue≈ 408 tokens
List curated ABS, RBA, and APRA catalogue entries, optionally filtered by source, category, or tag. Unranked complement to ``search_datasets``.
Paramètres, retour & exemple (5)
Paramètrestag· ? · optionnel
Optional curated catalogue tag filter.source· ? · optionnel
Optional source filter. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority.category· ? · optionnel
Optional curated catalogue or semantic concept category filter.include_ceased· boolean · optionnel
Whether to include ceased ABS catalogue entries.include_discontinued· boolean · optionnel
Whether to include discontinued RBA catalogue entries.
Exemple d'appel{"name": "list_catalogue", "arguments": {"tag": "texte", "source": "texte", "category": "texte", "include_ceased": true, "include_discontinued": true}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}} - list_economic_concepts≈ 334 tokens
List analyst-friendly semantic economic concepts accepted by get_economic_series.
Paramètres, retour & exemple (3)
Paramètresquery· ? · optionnel
Optional query for filtering semantic economic concepts.source· ? · optionnel
Optional source filter. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority.category· ? · optionnel
Optional curated catalogue or semantic concept category filter.
Exemple d'appel{"name": "list_economic_concepts", "arguments": {"query": "texte", "source": "texte", "category": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}} - list_rba_tables≈ 285 tokens
Deprecated compatibility alias. Prefer list_catalogue(source="rba").
Paramètres, retour & exemple (2)
Paramètrescategory· ? · optionnel
Optional RBA catalogue category filter.include_discontinued· boolean · optionnel
Whether to include discontinued RBA catalogue entries.
Exemple d'appel{"name": "list_rba_tables", "arguments": {"category": "texte", "include_discontinued": true}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}} - list_release_events≈ 397 tokens
List source-aware release calendar or release-pulse events.
Paramètres, retour & exemple (5)
Paramètreslimit· integer · optionnel
Positive observation count.query· ? · optionnel
Optional query for filtering semantic economic concepts.source· ? · optionnel
Optional source filter. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority.end_date· ? · optionnel
Optional ISO date bound in YYYY-MM-DD format.start_date· ? · optionnel
Optional ISO date bound in YYYY-MM-DD format.
Exemple d'appel{"name": "list_release_events", "arguments": {"limit": 1, "query": "texte", "source": "texte", "end_date": "texte", "start_date": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}} - search_datasets≈ 278 tokens
Search curated ABS, RBA, and APRA economic datasets.
Paramètres, retour & exemple (2)
Paramètresquery· string · requis
Discovery query text.source· ? · optionnel
Optional source filter. Use abs for Australian Bureau of Statistics, rba for Reserve Bank of Australia, or apra for Australian Prudential Regulation Authority.
Exemple d'appel{"name": "search_datasets", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": []}}
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