IBGE Brasil MCP server

• fetchFree

  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.

• ibge_calendarioFree

  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.

• ibge_censoFree

  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.

• ibge_cidadesFree

  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.

• ibge_cnaeFree

  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.

• ibge_compararFree

  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.

• ibge_datasaudeFree

  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.

• ibge_estadosFree

  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.

• ibge_geocodigoFree

  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.

• ibge_indicadoresFree

  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.

• ibge_localidadeFree

  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.

• ibge_malhasFree

  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).

• ibge_malhas_temaFree

  Lists what a THEMATIC territorial recorte of Brazil contains: how many features, with which codes and names, and the URL to download its geometry. Available recortes: - biomas: the six continental biomes - amazonia_legal: Legal Amazon boundary - semiarido: semi-arid area - costeiro: coastal municipalities - fronteira: border-strip municipalities - metropolitana: metropolitan regions - ride: Integrated Development Regions - listar: the catalogue itself, without querying the source Filtering with `codigo`: only the recortes that have a per-feature code accept it — biomas (the biome code) and the two municipality ones, costeiro and fronteira (the 7-digit IBGE municipality code). Ask without `codigo` to see what exists; biome codes come from the source, not from a fixed table. GEOMETRY IS NOT IN THE RESPONSE, on purpose: one biome polygon alone is over 9 MB. The response carries the attributes plus a canonical WFS URL that returns the recorte with geometry in GeoJSON. Use a different tool when: - Administrative meshes WITH geometry (country/region/state/municipality outlines) → ibge_malhas Behavior: read-only and idempotent — a live GET against the public IBGE Geosserviços WFS (IBGE Geociências), which is a different service from the Malhas API and the only one that publishes these recortes. Returns Markdown plus a typed structuredContent payload.

• ibge_municipiosFree

  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.

• ibge_nomesFree

  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.

• ibge_noticiasFree

  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.

• ibge_paisesFree

  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.

• ibge_pesquisasFree

  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.

• ibge_sidraFree

  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. Very large queries are refused by the source (since 2026-09-16 SIDRA tables are read through the Aggregates API, whose ceiling is lower than SIDRA's old 100,000-value cap: all municipalities × 12 yearly periods fails, × 8 works) — narrow periodos (e.g. "last 4") or raise nivel_territorial. 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.

• ibge_sidra_metadadosFree

  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.

• ibge_sidra_tabelasFree

  Lists and searches available SIDRA tables. Features: - List all SIDRA tables (aggregates) - Search by table name: every word must match (AND), accents and case ignored, and everyday Portuguese is resolved to the IBGE's own wording (renda→rendimento, desemprego→desocupação, cidade→município, gênero→sexo); when that happens the response says so in notas_vocabulario - 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.

• ibge_vizinhosFree

  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.

• searchFree

  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.

• Code scan89 source files scanned25/25
• Live reliabilityremote reachable in 1327ms20/20
• Tool poisoning23 tool descriptions checked13/15
• Auth qualityopen endpoint, read-only tools10/15
• Maintenancelast push 3 days ago15/15
• Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

IBGE Brasil MCP: common questions

Is IBGE Brasil MCP server safe?

Yes, by our scan: it is graded A (91/100). Read the IBGE Brasil MCP safety report

How do I install IBGE Brasil MCP?

It runs remotely at ibge.sidneybissoli.com. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.

Does IBGE Brasil MCP need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is IBGE Brasil MCP maintained?

The last commit was 3 days ago (2026-09-16). The latest release is v5.1.1.

Is IBGE Brasil MCP up?

100% of our last 1 checks got an answer. We check remote servers about four times a day.