io.github.SidneyBissoli/ibge-br-mcp

Tools

• fetch

  Returns the full document for an id obtained from `search`, as { id, title, text, url, metadata }: `text` is the readable content (Markdown) and `url` the canonical public page to cite. Companion of `search` in the OpenAI Deep Research contract, over the IBGE (Brazilian official statistics: SIDRA tables, municipalities, known indicators) catalog. Only ids returned by `search` are valid; an unknown id returns an error. The `ibge_*` tools (`ibge_sidra`, `ibge_cidades`, `ibge_indicadores`, `ibge_comparar`…) remain the tools for data queries. Behavior: read-only and idempotent — a live GET against the public source when the document needs it.

  shallow
• ibge_calendario

  Queries IBGE release and collection calendar. Features: - List upcoming survey releases - Filter by product (IPCA, PNAD, GDP, etc.) - Filter by period - Distinguish releases from field collections Event types: - **Release**: Publication of survey results - **Collection**: Field research period Examples: - Upcoming releases: (no parameters) - IPCA releases: produto="IPCA" - 2024 calendar: de="01/01/2024", ate="31/12/2024" - Field collections: tipo="coleta" Use a different tool when: - Already-published news and releases → ibge_noticias Behavior: read-only and idempotent — a live GET against the public IBGE Calendário API. Returns a Markdown list.

  shallow
• ibge_censo

  Queries IBGE Demographic Census data (1970-2022). Simplified tool to access census data without knowing SIDRA table codes. Available years: 1970, 1980, 1991, 2000, 2010, 2022 Available themes: - populacao: Resident population - alfabetizacao: Literacy rate - domicilios: Housing characteristics - idade_sexo: Age pyramid - religiao: Religion distribution - cor_raca: Race/color - rendimento: Monthly income - educacao: Education level - trabalho: Employment Examples: - Population 2022: ano="2022", tema="populacao" - Historical series: ano="todos", tema="populacao" - Literacy 2010 by state: ano="2010", tema="alfabetizacao", nivel_territorial="3" - List tables: tema="listar" Statistics mode: for largest/smallest/mean/median/distribution/ranking questions over census data ("which municipality had the largest 2022 population?") use estatisticas=true — full distribution + top/bottom computed over ALL rows before truncation; agruparPor="<column label>" ranks groups by descending sum. In this mode campos/formato are ignored and registros comes empty. Use a different tool when: - One municipality's current panel (estimate, HDI, GDP) → ibge_cidades - Comparing/ranking localities → ibge_comparar - An arbitrary SIDRA table → ibge_sidra Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns Markdown plus a typed structuredContent payload.

  shallow
• ibge_cidades

  Queries municipal indicators from IBGE (similar to Cidades@ portal). Features: - General overview of a municipality (population, HDI, GDP, etc.) - Query specific indicators - Historical indicator data over years - List available surveys and indicators Available indicators: populacao, area, densidade, pib_per_capita, idh, escolarizacao, mortalidade, salario_medio, receitas, despesas Examples: - São Paulo overview: tipo="panorama", municipio="3550308" - Population history: tipo="historico", municipio="3550308", indicador="populacao" - View surveys: tipo="pesquisas" - Available indicators: tipo="indicador" This tool is the panel for a SINGLE municipality (Cidades@). Use a different tool when: - Census themes / historical series → ibge_censo - Comparing multiple municipalities → ibge_comparar - A macro indicator time series → ibge_indicadores Behavior: read-only and idempotent — a live GET against the public IBGE APIs (Cidades@/agregados). Returns Markdown plus a typed structuredContent payload.

  shallow
• ibge_cnae

  Queries CNAE (National Classification of Economic Activities) from IBGE. CNAE is the official classification for economic activities in Brazil. Hierarchical structure: - Section (letter A-U): 21 main categories - Division (2 digits): 87 divisions - Group (3 digits): 285 groups - Class (4-5 digits): 673 classes - Subclass (7 digits): 1,332 subclasses Features: - Search by CNAE code - Search by activity description - List by hierarchical level - Show complete hierarchy Examples: - Search software: busca="software" - Specific code: codigo="6201-5/01" - View section: codigo="J" - List divisions: nivel="divisoes" Behavior: read-only and idempotent — a live GET against the public IBGE CNAE API. Returns Markdown.

  shallow
• ibge_comparar

  Compares data between localities (municipalities or states). Available indicators: - populacao: Current population estimate - populacao_censo: Census 2022 population - pib: GDP per capita - area: Territorial area (km²) - densidade: Population density (inhab/km²) - alfabetizacao: Literacy rate - domicilios: Number of households Features: - Compare up to 10 localities at once - Calculate statistics (max, min, average, variation) - Generate ranked output - Accept municipality codes (7 digits) or state codes (2 digits) Examples: - Compare capitals: localidades="3550308,3304557,4106902", indicador="populacao" - Compare states: localidades="35,33,41", indicador="pib" - Area ranking: localidades="3550308,3304557", formato="ranking" - List indicators: indicador="listar" Use this tool ONLY to rank/compare 2–10 localities on one indicator. For a single locality, use ibge_cidades (municipal panel), ibge_censo, or ibge_sidra. Behavior: read-only and idempotent — a live GET against the public IBGE APIs (SIDRA and Localidades). Returns Markdown plus a typed structuredContent payload.

  shallow
• ibge_datasaude

  Queries Brazil health indicators, served through IBGE's SIDRA (some originally produced by DataSUS, e.g. mortality and births). Mortality and Birth: - mortalidade_infantil: Infant mortality rate - nascidos_vivos: Live births by location - obitos: Deaths by residence Demographic Indicators: - esperanca_vida: Life expectancy at birth - fecundidade: Fertility rate Sanitation: - saneamento_agua: Water supply - saneamento_esgoto: Sewage system Health Coverage: - plano_saude: Health insurance coverage - autoavaliacao_saude: Self-rated health status Territorial levels: 1=Brazil, 2=Region, 3=State, 6=Municipality Examples: - Infant mortality: indicador="mortalidade_infantil" - Life expectancy by state: indicador="esperanca_vida", nivel_territorial="3" - Deaths in SP: indicador="obitos", nivel_territorial="3", localidade="35" - List indicators: indicador="listar" Statistics mode: for largest/smallest/mean/median/distribution/ranking questions ("which state has the highest infant mortality?", "median life expectancy across states") use estatisticas=true — full distribution + top/bottom over ALL rows before truncation; agruparPor="<column label>" ranks groups by descending sum. In this mode campos/formato are ignored and registros comes empty. Use a different tool when: - A single municipality's general panel (which also includes infant mortality) → ibge_cidades - Population/demographic counts (not health-specific) → ibge_censo or ibge_sidra Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns Markdown plus a typed structuredContent payload.

  shallow
• ibge_estados

  Lists all Brazilian states from IBGE. Features: - Lists all 27 states (26 states + Federal District) - Filter by region (North, Northeast, Southeast, South, Central-West) - Sort by ID, name, or abbreviation Examples: - List all states: (no parameters) - Northeast states: regiao="NE" - Sorted by abbreviation: ordenar="sigla" Use a different tool when: - Municipalities of a state → ibge_municipios - Details/hierarchy of one locality by code → ibge_localidade Behavior: read-only and idempotent — a live GET against the public IBGE Localidades API. Returns a Markdown table.

  shallow
• ibge_geocodigo

  Decodes IBGE codes or searches codes by locality name. Features: - Decode region, state, municipality, or district codes - Search IBGE code by name - Show complete geographic hierarchy - Return related codes Code structure: - 1 digit: Region (1=North, 2=Northeast, 3=Southeast, 4=South, 5=Central-West) - 2 digits: State (11-53) - 7 digits: Municipality - 9 digits: District Examples: - Decode municipality: codigo="3550308" - Decode state: codigo="35" - Search by name: nome="São Paulo" - Municipality in state: nome="Campinas", uf="SP" This tool decodes a code's structure and resolves name→code at any level. Use a different tool when: - You only need to list/search municipalities → ibge_municipios - You want the full detailed record of one locality → ibge_localidade Behavior: read-only and idempotent — a live GET against the public IBGE Localidades API. Returns Markdown.

  shallow
• ibge_indicadores

  Queries IBGE economic and social indicators. Available indicators: **Economic:** - pib: GDP at current prices - pib_variacao: GDP variation (%) - pib_per_capita: GDP per capita - industria: Industrial production - comercio: Retail sales - servicos: Services volume **Prices:** - ipca: Monthly IPCA - ipca_acumulado: 12-month IPCA - inpc: Monthly INPC **Labor:** - desemprego: Unemployment rate - ocupacao: Employed people - rendimento: Average income - informalidade: Informality rate **Population:** - populacao: Population estimate - densidade: Population density Examples: - GDP: indicador="pib" - IPCA last 12 months: indicador="ipca", periodos="last 12" - Unemployment by state: indicador="desemprego", nivel_territorial="3" - List indicators: indicador="listar" Statistics mode: for largest/smallest/mean/median/distribution/ranking questions ("which state has the highest unemployment?", "median GDP per capita across states") use estatisticas=true — full distribution + top/bottom over ALL rows before truncation; agruparPor="<column label>" (e.g. "Unidade da Federação", "Trimestre") ranks groups by descending sum. In this mode campos/formato are ignored and registros comes empty. Use a different tool when: - Comparing/ranking localities → ibge_comparar - Census themes → ibge_censo - One municipality's panel → ibge_cidades Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns Markdown plus a typed structuredContent payload.

  shallow
• ibge_localidade

  Returns details of a specific locality by IBGE code. Features: - State information (2-digit code) - Municipality information (7-digit code) - District information (9-digit code) - Complete hierarchy (region, mesoregion, microregion) Examples: - São Paulo state: codigo=35 - São Paulo city: codigo=3550308 - District: codigo=355030805 This tool returns the full record of ONE locality you already have the code for. Use a different tool when: - You have a name and need the code → ibge_municipios (municipalities) or ibge_geocodigo (any level) - You want to decompose/understand a code's structure → ibge_geocodigo Behavior: read-only and idempotent — a live GET against the public IBGE Localidades API. Returns a Markdown record.

  shallow
• ibge_malhas

  Gets geographic meshes (maps) from IBGE in GeoJSON, TopoJSON, or SVG format. Features: - Meshes for Brazil, regions, states, municipalities - Different resolution levels (internal divisions) - Different quality levels - Formats: GeoJSON (data), TopoJSON (compact), SVG (image) Locality types: - "BR" or "1" = Entire Brazil - State abbreviation (e.g., "SP", "RJ") - State code (e.g., "35" for SP) - Municipality code (7 digits) Resolution (internal divisions): - 0 = Outline only - 2 = States - 5 = Municipalities Examples: - Brazil with states: localidade="BR", resolucao="2" - São Paulo with municipalities: localidade="SP", resolucao="5" - SVG format: localidade="BR", formato="svg" Use a different tool when: - Thematic meshes (biomes, Legal Amazon, semi-arid, metropolitan regions) → ibge_malhas_tema Behavior: read-only and idempotent — a live GET against the public IBGE Malhas API. Returns the mesh in the requested format (GeoJSON, TopoJSON, or SVG).

  shallow
• ibge_malhas_tema

  Gets thematic geographic meshes from IBGE. Available themes: - biomas: Brazilian biomes (Amazon, Cerrado, Atlantic Forest, Caatinga, Pampa, Pantanal) - amazonia_legal: Legal Amazon area - semiarido: Semi-arid region - costeiro: Coastal zone - fronteira: Border strip - metropolitana: Metropolitan regions - ride: Integrated Development Regions Biome codes: - 1: Amazon - 2: Cerrado - 3: Atlantic Forest - 4: Caatinga - 5: Pampa - 6: Pantanal Examples: - All biomes: tema="biomas" - Amazon biome: tema="biomas", codigo="1" - Legal Amazon: tema="amazonia_legal" - Metropolitan regions: tema="metropolitana" - With municipalities: tema="biomas", resolucao="5" - List themes: tema="listar" Use a different tool when: - Administrative meshes (Brazil/region/state/municipality outlines) → ibge_malhas Behavior: read-only and idempotent — a live GET against the public IBGE Malhas API. Returns the mesh in the requested format (GeoJSON, TopoJSON, or SVG).

  shallow
• ibge_municipios

  Lists Brazilian municipalities from IBGE. Features: - List municipalities by state (using state abbreviation) - List all municipalities in Brazil (5,570 municipalities) - Search by municipality name - Returns 7-digit IBGE code Examples: - São Paulo municipalities: uf="SP" - Search by name: busca="Campinas" - MG municipalities containing "Belo": uf="MG", busca="Belo" Use a different tool when: - Resolve/decode a code at any level (region, state, district), not just municipalities → ibge_geocodigo - Full details/hierarchy of one locality by code → ibge_localidade - Neighboring municipalities → ibge_vizinhos Behavior: read-only and idempotent — a live GET against the public IBGE Localidades API. Returns a Markdown table.

  shallow
• ibge_nomes

  Queries name frequency and rankings in Brazil (IBGE). Features: 1. **Name frequency** (tipo='frequencia'): - Birth frequency by decade - Multiple names separated by comma - Filter by sex and locality 2. **Name ranking** (tipo='ranking'): - Most popular names - Filter by decade, sex, and locality Available decades: 1930-2010 Examples: - Frequency of "Maria": tipo="frequencia", nomes="Maria" - Compare names: tipo="frequencia", nomes="João,José,Pedro" - 2000s ranking: tipo="ranking", decada=2000 - Female names: tipo="ranking", sexo="F" Behavior: read-only and idempotent — a live GET against the public IBGE Nomes (Censo) API. Returns a Markdown table.

  shallow
• ibge_noticias

  Searches and lists already-published IBGE news articles and press releases. Use this to find recent IBGE publications or announcements about a survey or topic — when an indicator was released, or news mentioning a term like "censo". Results are sorted newest-first; with no parameters it returns the 10 most recent items. Parameters: - busca: free-text term to match (e.g. "PIB", "censo") - tipo: "release" (official publication of survey results) or "noticia" (general news); omit for both - de / ate: date range, format DD/MM/AAAA (e.g. de="01/01/2024", ate="31/12/2024") - destaque: true to return only featured items - quantidade: how many to return (default 10, max 100); pagina: page number to page through more Each item returns: title, type (release/news), publication date, editoria (section), related products/surveys, a featured flag, a plain-text summary, and a link to the full article. The header reports the total count and current page. Examples: - Latest 10 news: (no parameters) - Search census: busca="censo" - 2024 news: de="01/01/2024", ate="31/12/2024" - Releases only: tipo="release" Use a different tool when: - Scheduled/upcoming release dates (not yet published) → ibge_calendario Behavior: read-only and idempotent — a live GET against the public IBGE Notícias API. Returns a Markdown list.

  shallow
• ibge_paises

  Queries international country data via IBGE. Features: - List all countries (following UN M49 methodology) - Country details (area, languages, currency, location) - Search countries by name - Filter by region/continent Available regions: americas, europa, africa, asia, oceania Country codes: Use ISO-ALPHA-2 (e.g., BR, US, AR, PT, JP) Examples: - List all: tipo="listar" - Brazil details: tipo="detalhes", pais="BR" - Search: tipo="buscar", busca="Argentina" - Americas countries: tipo="listar", regiao="americas" - Available indicators: tipo="indicadores" Behavior: read-only and idempotent — a live GET against the public IBGE Países API. Returns Markdown.

  shallow
• ibge_pesquisas

  Lists available IBGE surveys and their tables. Features: - List all IBGE surveys (Census, PNAD, GDP, etc.) - Search by name or code - Show details and tables of a specific survey - Categorize surveys by theme Main surveys: - **Census**: Demographic, Agricultural, MUNIC - **PNAD Contínua**: Employment, income, education - **National Accounts**: GDP, investments - **Economic Surveys**: Industry, Commerce, Services - **Price Indices**: IPCA, INPC Examples: - List all: (no parameters) - Search population: busca="população" - PNAD details: detalhes="pnad" This lists surveys, not data. To find table codes use ibge_sidra_tabelas; to query data use ibge_sidra (or a wrapper: ibge_censo, ibge_indicadores, ibge_comparar, ibge_cidades). Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA/Pesquisas API. Returns a Markdown list.

  shallow
• ibge_sidra

  Queries SIDRA tables (IBGE's Automatic Recovery System). SIDRA contains data from IBGE surveys like Census, PNAD, GDP, etc. Common tables: - 6579: Population estimates (annual) - 9514: Census 2022 population - 200: Census population (1970-2010) - 4714: Population, territorial area and density (Census 2022) - 4099: Unemployment rate (PNAD Contínua, quarterly) - 5436: Average real income (PNAD Contínua, quarterly) - 6706: GDP at current prices - 5938: GDP per capita Territorial levels: - 1: Brazil - 2: Region (North, Northeast, etc.) - 3: State (UF) - 6: Municipality - 7: Metropolitan Region Examples: - Brazil population 2023: tabela="6579", periodos="2023" - Population by state: tabela="6579", nivel_territorial="3" - Census 2022 by municipality: tabela="9514", nivel_territorial="6", localidades="3550308" Statistics mode: for **largest/smallest/mean/median/distribution/ranking** questions ("which municipality has the largest population?", "median GDP by state") use estatisticas=true — it computes min/max/mean/median/std-dev/labeled percentiles over ALL data rows BEFORE pagination and returns top/bottom rankings (default 10, cap 100 via topN), so one call answers what would otherwise require paging thousands of records. With agruparPor="<column label>" (e.g. "Unidade da Federação", "Ano") it ranks groups by descending sum, each with its own mini-distribution. Queries mixing several variables auto-group by "Variável" (units differ). SIDRA absence markers ("-", "..", "...", "X") are excluded from n. In this mode pagina/campos/formato are ignored and registros comes empty. The query itself still respects SIDRA's official cap of 100,000 values. ibge_sidra is the low-level engine. Prefer a friendlier wrapper when it fits: - Census themes (1970–2022) → ibge_censo - Economic/social time series → ibge_indicadores - Rank/compare 2–10 localities → ibge_comparar - One municipality's panel → ibge_cidades Use ibge_sidra_tabelas and ibge_sidra_metadados to find a table code and its structure before querying. Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns Markdown plus a typed structuredContent payload.

  shallow
• ibge_sidra_metadados

  Returns metadata for a specific SIDRA table. Features: - General info (name, survey, subject, periodicity) - Available territorial levels - Variable list with units - Classifications and categories - Available periods Use this tool to understand table structure BEFORE querying data with ibge_sidra. Examples: - Population table metadata: tabela="6579" - Census 2022 metadata: tabela="9514" - PNAD unemployment: tabela="4714" Use this after finding a table code (ibge_sidra_tabelas) and before querying with ibge_sidra. Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns Markdown.

  shallow
• ibge_sidra_tabelas

  Lists and searches available SIDRA tables. Features: - List all SIDRA tables (aggregates) - Search by table name - Filter by survey (Census, PNAD, GDP, etc.) - Shows code and name of each table SIDRA contains data from various surveys: - Demographic Census - PNAD Contínua (employment, income) - National Accounts (GDP) - Industrial Survey - Agricultural Survey Examples: - List tables: (no parameters) - Search population tables: busca="população" - Census tables: pesquisa="censo" This is step 1 of the SIDRA workflow: find a table code → ibge_sidra_metadados (structure) → ibge_sidra (query). For common data, a wrapper is usually easier: ibge_censo, ibge_indicadores, ibge_comparar, ibge_cidades. Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns a Markdown table.

  shallow
• ibge_vizinhos

  Finds nearby/neighboring municipalities. Features: - Search by IBGE code (7 digits) or municipality name - Returns municipalities in the same mesoregion (proximity approximation) - Optionally includes population data Note: Uses mesoregion as geographic proximity proxy. For exact spatial neighborhood, mesh processing would be required. Examples: - By code: municipio="3550308" - By name: municipio="Campinas", uf="SP" - With population: municipio="3550308", incluir_dados=true Note: proximity is approximated by shared mesoregion (not exact spatial adjacency). For listing/searching municipalities, use ibge_municipios. Behavior: read-only and idempotent — a live GET against the public IBGE Localidades API. Returns a Markdown list.

  shallow
• search

  Searches the IBGE (Brazilian official statistics: SIDRA tables, municipalities, known indicators) catalog and returns up to 10 matching documents as { id, title, url }, ordered by relevance (an empty list means nothing matched). This tool exists for the OpenAI Deep Research contract: ChatGPT deep research, company knowledge and research workflows over the Responses API require exactly the tools `search` and `fetch`. Pass one of the returned ids to `fetch` to read the document. For direct questions and for data (values, series, rankings) prefer the `ibge_*` tools (`ibge_sidra`, `ibge_cidades`, `ibge_indicadores`, `ibge_comparar`…), which return the actual data with provenance — this is a catalog index, not a data query. Query: natural language or keywords, Portuguese or English; accents and case are ignored. Behavior: read-only and idempotent — the catalog comes from the public source and is cached in memory.

  shallow

Embed this server’s score

Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.

[![Vouch score](https://vouch.tools/api/servers/56e0102d-a82c-43c6-857d-0dafca81c653/badge.svg)](https://vouch.tools/servers/56e0102d-a82c-43c6-857d-0dafca81c653)