# IBGE Brasil MCP MCP server

MCP server for live, sourced Brazilian public data from the official IBGE APIs.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-sidneybissoli-ibge-br-mcp
- Repository: https://github.com/SidneyBissoli/ibge-br-mcp
- Website: https://github.com/SidneyBissoli/ibge-br-mcp#readme

## Install
- Command: `npx -y ibge-br-mcp`
- Endpoint: https://ibge.sidneybissoli.com/mcp
- Auth: Not captured

## Setup notes
- Package: Npm ibge-br-mcp v3.0.2
- Remote endpoint: https://ibge.sidneybissoli.com/mcp

## Tools
- ibge_estados (Estados do Brasil) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_municipios (Municípios do Brasil) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_localidade (Detalhes de 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_populacao (População do Brasil em tempo real) - Returns real-time Brazilian population projection.

Features:
- Current population estimate
- Birth rate (average time between births)
- Death rate (average time between deaths)
- Daily population increment

Source: IBGE - Brazilian Population Projection

This tool ONLY returns Brazil's real-time national projection.

Use a different tool when:
- Population of a specific municipality/state → ibge_cidades (panorama)
- Census or historical population → ibge_censo
- Comparing/ranking multiple localities → ibge_comparar
- Population time series → ibge_indicadores
- An arbitrary SIDRA table → ibge_sidra

Behavior: read-only and idempotent — a live GET against the public IBGE population-projection API. Returns Markdown plus a typed structuredContent payload. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_sidra (Consulta de tabelas 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: Unemployment rate (PNAD Contínua)
- 6381: Average income (PNAD Contínua)
- 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_nomes (Frequência e ranking de 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_noticias (Notícias do IBGE) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_sidra_tabelas (Busca de tabelas SIDRA) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_sidra_metadados (Metadados de tabela SIDRA) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_malhas (Malhas geográficas) - 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). Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_pesquisas (Pesquisas do IBGE) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_censo (Censo Demográfico) - 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:
- Current real-time Brazil population → ibge_populacao
- 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_indicadores (Indicadores econômicos e sociais) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_cnae (Classificação 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_geocodigo (Códigos geográficos do IBGE) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_calendario (Calendário de divulgações) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_comparar (Comparação entre localidades) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_malhas_tema (Malhas temáticas) - 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). Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_vizinhos (Municípios 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_datasaude (Indicadores de saúde) - 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
- obitos_causas: Deaths by cause (ICD-10)

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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_paises (Dados de países) - 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. Endpoint: https://ibge.sidneybissoli.com/mcp
- ibge_cidades (Panorama municipal (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:
- Real-time Brazil population → ibge_populacao
- 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. Endpoint: https://ibge.sidneybissoli.com/mcp

## Resources
- ibge://catalogos/ufs - UFs do Brasil As 27 Unidades da Federação com código IBGE (2 dígitos), sigla, nome e região. MIME type: application/json
- ibge://catalogos/regioes - Regiões do Brasil As 5 grandes regiões com código, sigla, nome e UFs que as compõem. MIME type: application/json
- ibge://catalogos/niveis-territoriais - Níveis territoriais SIDRA Códigos de nível territorial (nivel_territorial) aceitos pelas tools SIDRA, com rótulo e nome. MIME type: application/json
- ibge://catalogos/tabelas-sidra - Tabelas SIDRA comuns Códigos das tabelas SIDRA mais usadas (população, PIB, IPCA, etc.) com descrição. MIME type: application/json
- ibge://catalogos/biomas - Biomas do Brasil Códigos dos 6 biomas brasileiros (usados por ibge_malhas_tema). MIME type: application/json

## Prompts
- comparar-municipios - Comparar municípios Compara 2 a 10 localidades (municípios ou UFs) em um indicador e produz um ranking comentado. Arguments: localidades, indicador
- perfil-demografico - Perfil demográfico Monta um perfil demográfico de uma localidade combinando população, censo e indicadores socioeconômicos. Arguments: localidade

## Metadata
- Owner: io.github.SidneyBissoli
- Version: 3.0.2
- Runtime: Npm
- Transports: STDIO, HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 21, 2026
- Source: https://registry.modelcontextprotocol.io