Combien d'outils expose io.github.felipegambettadesouza6-jpg/open-economics ?

io.github.felipegambettadesouza6-jpg/open-economics expose 19 outil(s). Le coût de contexte pour les charger tous est d'environ 11075 tokens (coût unique au chargement, pas par appel).

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io.github.felipegambettadesouza6-jpg/open-economics

serveur MCP (Model Context Protocol) · open-economics 2.0.2

▸ Données & BDD

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Verdict MCP Hub
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.

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~11075 tokensCoût de contexte

19Outils

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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 19 outils

describe_official_dataset≈ 573 tokens
Get identity, publisher, collection, provenance links, query capability, and any stable Open Economics series shortcuts for an exact dataset ID returned by search_official_data. This does not fetch observations.
Paramètres, retour & exemple (1)
Paramètres
- dataset_id · string · requis
  Exact ID returned by search_official_data, such as bcb-sgs:432, ibge-aggregates:5932, siconfi:dca, tesouro-rtn:government-central, tesouro-dpf:debt-profile, comexstat:general, anp:fuel-prices, epe:electricity-consumption, mte:formal-employment, or cvm:investment-funds.
Exemple d'appel
```
{"name": "describe_official_dataset", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"id": "texte", "title": "texte", "provider": "texte", "sourceUrl": "texte", "collection": "texte", "metadataUrl": "texte", "sourceAgency": "texte", "collectionName": "texte", "queryCapability": "texte"}}
```
get_anp_fuel_prices≈ 776 tokens
Retrieve auditable fuel and GLP price statistics calculated from official ANP station observations. Omit year and month for the rolling latest four weeks, or provide both for a published monthly file from 2023 onward. Results retain period, product, geography, unit, sample count, source URL, and the disclosed aggregation method while excluding station identity and addresses.
Paramètres, retour & exemple (10)
Paramètres
- year · integer · optionnel
  Published source year; provide with month for a monthly file.
- limit · integer · optionnel
  Maximum aggregate rows to return.
- month · integer · optionnel
  Published source month; provide with year for a monthly file.
- state · string · optionnel
  Two-letter Brazilian state code when geography is state or municipality.
- period · string · optionnel · week | month
  Reporting period granularity.
- product · string · optionnel
  Exact ANP product label, for example GASOLINA or ETANOL.
- geography · string · optionnel · country | region | state | municipality
  Geographic aggregation level.
- dataset_id · string · requis
  The official ANP fuel-prices dataset identifier.
- fuel_group · string · requis · gasoline-ethanol | diesel-gnv | glp
  ANP product group to retrieve.
- municipality · string · optionnel
  Municipality name when geography is municipality.
Exemple d'appel
```
{"name": "get_anp_fuel_prices", "arguments": {"dataset_id": "texte", "fuel_group": "gasoline-ethanol"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_bcb_schema≈ 426 tokens
Fetch authoritative metadata for an exact BCB SGS series, including full name, subject hierarchy, periodicity, unit, source, coverage dates, decimals, formula, and warnings. Use when interpreting a BCB series without retrieving observations.
Paramètres, retour & exemple (1)
Paramètres
- dataset_id · string · requis
  Exact BCB dataset ID returned by search_official_data.
Exemple d'appel
```
{"name": "get_bcb_schema", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_bcb_series≈ 561 tokens
Retrieve official observations and authoritative schema metadata for an exact BCB SGS dataset ID. Use only after search_official_data identifies the series. Dates, units, periodicity, source, and raw values are preserved; generic access does not guess transformations.
Paramètres, retour & exemple (5)
Paramètres
- end · string · optionnel
  Inclusive end date; defaults to today.
- limit · integer · optionnel
  Maximum number of observations to return.
- order · string · optionnel · asc | desc
  Observation order by date.
- start · string · optionnel
  Inclusive start date; defaults to three years ago.
- dataset_id · string · requis
  Exact BCB dataset ID returned by search_official_data.
Exemple d'appel
```
{"name": "get_bcb_series", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_comexstat_data≈ 964 tokens
Retrieve a bounded, explicit MDIC Comex Stat export or import slice from 1997 onward. Use comexstat:general only after search_official_data. Select period, dimensions, metrics, and optional official filter codes; partner, product, state, transport, classification, and raw metric fields remain attached to the result.
Paramètres, retour & exemple (9)
Paramètres
- to · string · requis
  Last month, YYYY-MM.
- flow · string · requis · export | import
  Trade direction to retrieve.
- from · string · requis
  First month, YYYY-MM.
- details · array · optionnel
  Official dimensions to include, up to eight.
- filters · array · optionnel
  Optional official dimension filters.
- metrics · array · optionnel
  Official Comex Stat metrics to return.
- language · string · optionnel · pt | en | es
  Language for labels in the upstream response.
- dataset_id · string · requis
  The official MDIC Comex Stat dataset identifier.
- month_detail · boolean · optionnel
  Whether to keep month-level detail in the response.
Exemple d'appel
```
{"name": "get_comexstat_data", "arguments": {"to": "texte", "flow": "export", "from": "texte", "dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_cvm_investment_funds≈ 709 tokens
Retrieve daily CVM aggregates by official fund classification or resolve a fund/class latest report by CNPJ or name. Net assets and flows are additive; quota values stay fund-level; reported holder totals are not deduplicated people.
Paramètres, retour & exemple (8)
Paramètres
- to · string · optionnel
  Inclusive last report date, YYYY-MM-DD.
- from · string · optionnel
  Inclusive first report date, YYYY-MM-DD.
- funds · array · optionnel
  Unformatted 14-digit fund/class CNPJ values.
- limit · integer · optionnel
  Maximum fund or classification rows to return.
- query · string · optionnel
  Fund-name search; use only with breakdown=fund.
- breakdown · string · optionnel · classification | fund
  Whether to aggregate by official classification or resolve a fund.
- dataset_id · string · requis
  The official CVM investment-funds dataset identifier.
- classifications · array · optionnel
  Official fund classifications to include.
Exemple d'appel
```
{"name": "get_cvm_investment_funds", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_cvm_investment_funds_schema≈ 425 tokens
Inspect the synchronized CVM daily-report window, official classifications, fund-search contract, measure meanings, and aggregation constraints. Use before querying a fund by name or comparing classes.
Paramètres, retour & exemple (1)
Paramètres
- dataset_id · string · requis
  The official CVM investment-funds dataset identifier.
Exemple d'appel
```
{"name": "get_cvm_investment_funds_schema", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_epe_electricity_consumption≈ 832 tokens
Retrieve monthly EPE electricity consumption and consumer counts from 2004 onward. Select a bounded period, country/region/UF geography, consumption classes, and regulated/free market. The response identifies the exact synchronized official workbook version and discloses aggregation across source system rows.
Paramètres, retour & exemple (9)
Paramètres
- to · string · optionnel
  Inclusive last month, YYYY-MM.
- from · string · optionnel
  Inclusive first month, YYYY-MM.
- limit · integer · optionnel
  Maximum rows to return.
- states · array · optionnel
  Optional official state codes when geography is state.
- classes · array · optionnel
  Consumption classes to include.
- markets · array · optionnel
  Electricity-market segments to include.
- regions · array · optionnel
  Optional official regions when geography is region.
- geography · string · optionnel · country | region | state
  Geographic aggregation level.
- dataset_id · string · requis
  The official EPE electricity-consumption dataset identifier.
Exemple d'appel
```
{"name": "get_epe_electricity_consumption", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_ibge_data≈ 619 tokens
Retrieve an explicit slice of an IBGE aggregate after inspecting its schema. Returns variables containing classification selections, geographies, and observations; official suppression, missing, quality-flag, and zero states remain distinct.
Paramètres, retour & exemple (5)
Paramètres
- periods · string · optionnel
  Recent-period shorthand such as -12, or explicit official period IDs separated by |.
- locality · string · optionnel
  BR or an explicit IBGE geography selection such as N3[35].
- variable · string · requis
  One or more official variable IDs separated by |.
- dataset_id · string · requis
  Exact IBGE aggregate ID returned by search_official_data.
- classification · string · optionnel
  Explicit classification selections from the schema, such as 11255[90707].
Exemple d'appel
```
{"name": "get_ibge_data", "arguments": {"variable": "texte", "dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_ibge_schema≈ 436 tokens
Fetch official metadata for an IBGE aggregate selected by search_official_data. Always use this before get_ibge_data unless the official variable, locality, and classification IDs are already known. It prevents guessing a measure or dimensional slice.
Paramètres, retour & exemple (1)
Paramètres
- dataset_id · string · requis
  Exact IBGE aggregate ID returned by search_official_data.
Exemple d'appel
```
{"name": "get_ibge_schema", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_mte_formal_employment≈ 780 tokens
Retrieve revised monthly Novo Caged stock, admissions, dismissals, balance, and relative change from 2020 onward. Select exactly one official breakdown: country, region, state, or economic activity. The response preserves the MTE workbook vintage and never synthesizes state-by-industry values.
Paramètres, retour & exemple (8)
Paramètres
- to · string · optionnel
  Inclusive last month, YYYY-MM.
- from · string · optionnel
  Inclusive first month, YYYY-MM.
- limit · integer · optionnel
  Maximum rows to return.
- states · array · optionnel
  Optional official state codes when breakdown is state.
- regions · array · optionnel
  Optional official regions when breakdown is region.
- breakdown · string · optionnel · country | region | state | industry
  Official breakdown for the employment result.
- dataset_id · string · requis
  The official MTE Novo Caged dataset identifier.
- industries · array · optionnel
  Exact official activity IDs returned by get_mte_formal_employment_schema; empty means all activities.
Exemple d'appel
```
{"name": "get_mte_formal_employment", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_mte_formal_employment_schema≈ 430 tokens
Inspect the official adjusted Novo Caged selection contract, source vintage, measure meanings, available industry IDs, and the constraint that geography and industry come from separate official tables. Use before an industry query.
Paramètres, retour & exemple (1)
Paramètres
- dataset_id · string · requis
  The official MTE Novo Caged dataset identifier.
Exemple d'appel
```
{"name": "get_mte_formal_employment_schema", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_siconfi_data≈ 691 tokens
Retrieve an explicit official SICONFI DCA, RREO, RGF, or entity-registry selection. First inspect the schema. This tool preserves account, column, annex, period, entity, raw value fields, and upstream provenance without aggregating or substituting concepts.
Paramètres, retour & exemple (9)
Paramètres
- year · integer · optionnel
  Calendar year of the official report.
- annex · string · optionnel
  Exact official annex name from the SICONFI documentation.
- power · string · optionnel · E | L | J | M | D
  RGF government branch.
- entity · integer · optionnel
  Official IBGE entity code.
- period · integer · optionnel
  RREO bimestre (1-6) or RGF period (1-3).
- sphere · string · optionnel · M | E | U | C
  Government sphere: municipal, state, federal, or consortium.
- dataset_id · string · requis
  Exact SICONFI dataset ID returned by search_official_data.
- periodicity · string · optionnel · Q | S
  RGF only: four-month (Q) or half-year (S).
- report_type · string · optionnel · RREO | RREO Simplificado | RGF | RGF Simplificado
  Official SICONFI report type for the selected dataset.
Exemple d'appel
```
{"name": "get_siconfi_data", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_siconfi_schema≈ 433 tokens
Get the meaning and required selection fields for an exact SICONFI dataset returned by search_official_data. Use this before get_siconfi_data so entity, reporting period, report type, government branch, and annex are explicit rather than guessed.
Paramètres, retour & exemple (1)
Paramètres
- dataset_id · string · requis
  Exact SICONFI dataset ID returned by search_official_data.
Exemple d'appel
```
{"name": "get_siconfi_schema", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_tesouro_dpf≈ 669 tokens
Retrieve one official monthly RMD table at a time: debt composition, DPMFi holders, average maturity, average maturity by indexer, monthly cost, or twelve-month cost. Units remain table-specific and are never combined.
Paramètres, retour & exemple (7)
Paramètres
- to · string · optionnel
  Inclusive last month, YYYY-MM.
- from · string · optionnel
  Inclusive first month, YYYY-MM.
- limit · integer · optionnel
  Maximum debt-statistics rows to return.
- query · string · optionnel
  Category-label search; useful when category IDs are unknown.
- table · string · optionnel · composition | holders | average-maturity | average-maturity-by-indexer | monthly-cost | twelve-month-cost
  Versioned RMD table to retrieve.
- categories · array · optionnel
  Exact category IDs returned for the selected table by get_tesouro_dpf_schema.
- dataset_id · string · requis
  The official Tesouro Nacional DPF debt-profile dataset identifier.
Exemple d'appel
```
{"name": "get_tesouro_dpf", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_tesouro_dpf_schema≈ 420 tokens
Inspect the six versioned RMD annex tables, their distinct units and coverage, category IDs, holder definitions, source publication, and methodological constraints before selecting data.
Paramètres, retour & exemple (1)
Paramètres
- dataset_id · string · requis
  The official Tesouro Nacional DPF debt-profile dataset identifier.
Exemple d'appel
```
{"name": "get_tesouro_dpf_schema", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_tesouro_rtn≈ 608 tokens
Retrieve monthly current-value RTN accounts from 1997 onward. Defaults to total revenue, transfers, net revenue, total expenditure, and the above-the-line primary result; select exact account IDs or search account labels for detail.
Paramètres, retour & exemple (6)
Paramètres
- to · string · optionnel
  Inclusive last month, YYYY-MM.
- from · string · optionnel
  Inclusive first month, YYYY-MM.
- limit · integer · optionnel
  Maximum account rows to return.
- query · string · optionnel
  Account-label search; omit accounts to search the full tree.
- accounts · array · optionnel
  Exact account IDs returned by get_tesouro_rtn_schema.
- dataset_id · string · requis
  The official Tesouro Nacional RTN dataset identifier.
Exemple d'appel
```
{"name": "get_tesouro_rtn", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
get_tesouro_rtn_schema≈ 419 tokens
Inspect RTN table 1.2 account IDs, hierarchy, current-value unit, coverage, source vintage, and above/below-the-line constraints. Use before selecting revenue or expenditure categories.
Paramètres, retour & exemple (1)
Paramètres
- dataset_id · string · requis
  The official Tesouro Nacional RTN dataset identifier.
Exemple d'appel
```
{"name": "get_tesouro_rtn_schema", "arguments": {"dataset_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "meta": {}, "links": {}}}
```
search_official_data≈ 904 tokens
Start here for a natural-language Brazilian economic-information need in Portuguese or English. Resolves the economic concept independently of current coverage, returns ranked official datasets, stable-series shortcuts, confidence, missing source integrations, and an explicit unresolved/partial state. Use this before any data query when the exact official dataset ID is unknown.
Paramètres, retour & exemple (2)
Paramètres
- limit · integer · optionnel
  Maximum official dataset candidates to return.
- query · string · requis
  The user's complete economic-data need, including measure, geography, period, and breakdown when known.
Exemple d'appel
```
{"name": "search_official_data", "arguments": {"query": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}], "structuredContent": {"query": "texte", "concepts": [], "datasets": [], "resolution": {}, "availability": {}, "normalizedQuery": "texte"}}
```

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Source

https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp