ibge-br-mcp

ibge-br-mcp

MCP Server for IBGE (Brazilian Institute of Geography and Statistics) APIs.🇧🇷 Leia em Português

This server implements the Model Context Protocol (MCP) to provide access to IBGE's public APIs, enabling AI assistants to query geographic, demographic, and statistical data from Brazil.

Features

• 23 specialized tools covering all major IBGE data domains
• 227 automated tests with 97%+ core coverage
• Automatic caching with configurable TTL for optimal performance
• Retry mechanism with exponential backoff for network resilience
• Comprehensive validation for all input parameters
• Standardized error handling with helpful suggestions
• Full TypeScript support with strict typing

Available Tools

Localities & Geography

Statistical Data (SIDRA)

Economic & Social Indicators

Municipal Data (Cidades@)

International Data

Demographics

Classifications

Maps & Geographic Meshes

External Data (BCB & Health)

News & Calendar

Installation

Prerequisites

• Node.js 18.x or higher
• npm or yarn

From npm (recommended)

npm install -g ibge-br-mcp

From source

# Clone the repository
git clone https://github.com/SidneyBissoli/ibge-br-mcp.git
cd ibge-br-mcp

# Install dependencies
npm install

# Build the project
npm run build

Configuration

Claude Desktop

Add to your Claude Desktop configuration file (claude_desktop_config.json):

{
  "mcpServers": {
    "ibge-br-mcp": {
      "command": "npx",
      "args": ["ibge-br-mcp"]
    }
  }
}

Or if installed from source:

{
  "mcpServers": {
    "ibge-br-mcp": {
      "command": "node",
      "args": ["/path/to/ibge-br-mcp/dist/index.js"]
    }
  }
}

Claude Code

{
  "mcpServers": {
    "ibge-br-mcp": {
      "command": "npx",
      "args": ["ibge-br-mcp"]
    }
  }
}

Tool Usage Examples

ibge_estados

List all Brazilian states.

# List all states
ibge_estados

# States in Northeast region
ibge_estados(regiao="NE")

# States sorted by abbreviation
ibge_estados(ordenar="sigla")

ibge_municipios

List Brazilian municipalities.

# Municipalities of São Paulo state
ibge_municipios(uf="SP")

# Search municipalities by name
ibge_municipios(busca="Campinas")

# Municipalities in MG containing "Belo"
ibge_municipios(uf="MG", busca="Belo")

ibge_cidades

Query municipal indicators (similar to Cidades@ portal).

# Panorama of São Paulo
ibge_cidades(tipo="panorama", municipio="3550308")

# Population history
ibge_cidades(tipo="historico", municipio="3550308", indicador="populacao")

# List available research
ibge_cidades(tipo="pesquisas")

Available indicators: populacao, area, densidade, pib_per_capita, idh, escolarizacao, mortalidade, salario_medio, receitas, despesas

ibge_paises

Query international country data.

# List all countries
ibge_paises(tipo="listar")

# Brazil details
ibge_paises(tipo="detalhes", pais="BR")

# Search countries
ibge_paises(tipo="buscar", busca="Argentina")

# Countries in Americas
ibge_paises(tipo="listar", regiao="americas")

Regions: americas, europa, africa, asia, oceania

ibge_sidra

Query SIDRA tables (IBGE's Automatic Recovery System).

# Brazil population in 2023
ibge_sidra(tabela="6579", periodos="2023")

# Population by state
ibge_sidra(tabela="6579", nivel_territorial="3", periodos="2023")

# Census 2022 for São Paulo municipality
ibge_sidra(tabela="9514", nivel_territorial="6", localidades="3550308")

Common tables:| Code | Description ||-----:|:------------|| 6579 | Population estimates (annual) || 9514 | Census 2022 population || 4714 | Unemployment rate (PNAD) || 6706 | GDP at current prices |

Territorial levels:| Code | Level ||-----:|:------|| 1 | Brazil || 2 | Region (North, Northeast, etc.) || 3 | State (UF) || 6 | Municipality || 7 | Metropolitan Region || 106 | Health Region || 127 | Legal Amazon || 128 | Semi-arid |

ibge_censo

Query Census data (1970-2022).

# Population Census 2022
ibge_censo(ano="2022", tema="populacao")

# Historical population series
ibge_censo(ano="todos", tema="populacao")

# Literacy by state in 2010
ibge_censo(ano="2010", tema="alfabetizacao", nivel_territorial="3")

Available themes: populacao, alfabetizacao, domicilios, idade_sexo, religiao, cor_raca, rendimento, migracao, educacao, trabalho

ibge_indicadores

Query economic and social indicators.

# GDP
ibge_indicadores(indicador="pib")

# IPCA last 12 months
ibge_indicadores(indicador="ipca", periodos="last 12")

# Unemployment by state
ibge_indicadores(indicador="desemprego", nivel_territorial="3")

# List all indicators
ibge_indicadores(indicador="listar")

Available indicators:| Category | Indicators ||:---------|:-----------|| Economic | pib, pib_variacao, pib_per_capita, industria, comercio, servicos || Prices | ipca, ipca_acumulado, inpc || Labor | desemprego, ocupacao, rendimento, informalidade || Population | populacao, densidade || Agriculture | agricultura, pecuaria |

ibge_nomes

Query name frequency and rankings.

# Frequency of "Maria"
ibge_nomes(tipo="frequencia", nomes="Maria")

# Compare names
ibge_nomes(tipo="frequencia", nomes="João,José,Pedro")

# Ranking of names in 2000s
ibge_nomes(tipo="ranking", decada=2000)

# Female names ranking
ibge_nomes(tipo="ranking", sexo="F")

ibge_malhas

Get geographic meshes (maps).

# Brazil with states
ibge_malhas(localidade="BR", resolucao="2")

# São Paulo with municipalities
ibge_malhas(localidade="SP", resolucao="5")

# Specific municipality
ibge_malhas(localidade="3550308")

# SVG format
ibge_malhas(localidade="BR", formato="svg")

Resolution levels:| Value | Internal Divisions ||:-----:|:-------------------|| 0 | No divisions (outline only) || 2 | States || 5 | Municipalities |

bcb

Query Central Bank of Brazil data.

# SELIC last 12 months
bcb(indicador="selic", ultimos=12)

# IPCA for 2023
bcb(indicador="ipca", dataInicio="01/01/2023", dataFim="31/12/2023")

# Dollar exchange rate last 30 days
bcb(indicador="dolar_venda", ultimos=30)

Available indicators: selic, cdi, tr, ipca, ipca_acum, igpm, inpc, dolar_compra, dolar_venda, euro, desemprego

datasaude

Query health indicators via IBGE/DataSUS.

# Infant mortality in Brazil
datasaude(indicador="mortalidade_infantil")

# Life expectancy by state
datasaude(indicador="esperanca_vida", nivel_territorial="3")

# List indicators
datasaude(indicador="listar")

Available indicators: mortalidade_infantil, esperanca_vida, nascidos_vivos, obitos, fecundidade, saneamento_agua, saneamento_esgoto, plano_saude

APIs Used

IBGE APIs

• Localities: servicodados.ibge.gov.br/api/v1/localidades
• Names: servicodados.ibge.gov.br/api/v2/censos/nomes
• Aggregates/SIDRA: servicodados.ibge.gov.br/api/v3/agregados
• SIDRA API: apisidra.ibge.gov.br/values
• Meshes: servicodados.ibge.gov.br/api/v3/malhas
• News: servicodados.ibge.gov.br/api/v3/noticias
• Population: servicodados.ibge.gov.br/api/v1/projecoes/populacao
• CNAE: servicodados.ibge.gov.br/api/v2/cnae
• Calendar: servicodados.ibge.gov.br/api/v3/calendario
• Countries: servicodados.ibge.gov.br/api/v1/paises
• Research: servicodados.ibge.gov.br/api/v1/pesquisas

External APIs

• Central Bank (BCB): api.bcb.gov.br/dados/serie/bcdata.sgs - Interest rates, exchange rates, inflation

Development

# Build
npm run build

# Watch mode
npm run watch

# Run tests
npm test

# Run tests in watch mode
npm run test:watch

# Lint
npm run lint

# Format
npm run format

# Test with MCP inspector
npm run inspector

Project Structure

ibge-br-mcp/
├── src/
│   ├── index.ts              # Main MCP server
│   ├── types.ts              # TypeScript types
│   ├── config.ts             # Configuration and constants
│   ├── cache.ts              # Request caching system
│   ├── retry.ts              # Retry with exponential backoff
│   ├── errors.ts             # Standardized error handling
│   ├── validation.ts         # Input validation helpers
│   ├── metrics.ts            # Metrics and logging
│   ├── utils/
│   │   └── formatters.ts     # Formatting utilities
│   └── tools/
│       ├── index.ts          # Tool exports
│       ├── estados.ts        # ibge_estados
│       ├── municipios.ts     # ibge_municipios
│       ├── localidade.ts     # ibge_localidade
│       ├── geocodigo.ts      # ibge_geocodigo
│       ├── censo.ts          # ibge_censo
│       ├── populacao.ts      # ibge_populacao
│       ├── sidra.ts          # ibge_sidra
│       ├── sidra-tabelas.ts  # ibge_sidra_tabelas
│       ├── sidra-metadados.ts# ibge_sidra_metadados
│       ├── indicadores.ts    # ibge_indicadores
│       ├── cnae.ts           # ibge_cnae
│       ├── calendario.ts     # ibge_calendario
│       ├── comparar.ts       # ibge_comparar
│       ├── malhas.ts         # ibge_malhas
│       ├── malhas-tema.ts    # ibge_malhas_tema
│       ├── vizinhos.ts       # ibge_vizinhos
│       ├── bcb.ts            # bcb
│       ├── datasaude.ts      # datasaude
│       ├── pesquisas.ts      # ibge_pesquisas
│       ├── nomes.ts          # ibge_nomes
│       ├── noticias.ts       # ibge_noticias
│       ├── paises.ts         # ibge_paises
│       └── cidades.ts        # ibge_cidades
├── tests/                    # Test files
├── dist/                     # Compiled files
├── package.json
├── tsconfig.json
├── vitest.config.ts
└── README.md

Testing

The project includes a comprehensive test suite with 227 tests covering:

• Validation functions
• Retry mechanism
• Formatting utilities
• Error handling
• Cache operations
• Integration tests with mocks

npm test

Quality Assurance

This project maintains high code quality standards:

• 227 automated tests covering validation, caching, retry logic, formatting, and integrations
• 97%+ test coverage on core modules (cache, validation, errors, types)
• ESLint for code linting with zero warnings
• Prettier for consistent code formatting
• TypeScript strict mode for type safety
• Automated CI/CD via GitHub Actions

Run tests locally:

# Run all tests
npm test

# Run tests with coverage
npm run test:coverage

# Run linter
npm run lint

License

MIT

Author

Sidney Bissoli

References

• IBGE - Data Service
• SIDRA - IBGE Automatic Recovery System
• Model Context Protocol
• MCP TypeScript SDK