ibge-br-mcp


IBGE Brasil MCP Server

           

Live, exact Brazilian public data for your AI assistant — with provenance, not guesswork.

Ask an LLM _"what was Belo Horizonte's population in the 2022 Census?"_ and you get a plausible number from its training data: maybe right, maybe outdated, with no source. ibge-br-mcp instead has your assistant query the official IBGE APIs in real time — returning the exact figure together with the table and period it came from.

🇧🇷 Leia em Português

This server implements the Model Context Protocol (MCP) to give AI assistants live, structured access to Brazil's public geographic, demographic, economic, and health data — sourced from the IBGE APIs (including health indicators served through IBGE's SIDRA system).

See it in action

Ask your assistant, in plain Portuguese:

• "Qual era a população de Belo Horizonte no Censo 2022?" → ibge_cidades / ibge_censo
• "Liste os municípios do Espírito Santo." → ibge_municipios
• "Compare o PIB per capita das capitais do Sudeste." → ibge_comparar

The answers come live from the official IBGE APIs — exact figures with the table and period they came from, not numbers guessed from training data.

Features

• 22 specialized tools covering all major IBGE data domains
• Reference resources & analysis prompts (MCP catalogs + ready-made templates)
• 460 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

| Tool | Description | |:-----|:------------| | ibge_estados | List Brazilian states with region filtering | | ibge_municipios | List municipalities by state or search by name | | ibge_localidade | Get details of a locality by IBGE code | | ibge_geocodigo | Decode IBGE codes or search codes by name | | ibge_vizinhos | Find neighboring municipalities |

Statistical Data (SIDRA)

| Tool | Description | |:-----|:------------| | ibge_sidra | Query SIDRA tables (Census, PNAD, GDP, etc.) | | ibge_sidra_tabelas | List and search available SIDRA tables | | ibge_sidra_metadados | Get table metadata (variables, periods, levels) | | ibge_pesquisas | List IBGE research surveys and their tables |

Economic & Social Indicators

| Tool | Description | |:-----|:------------| | ibge_indicadores | Economic and social indicators (GDP, IPCA, unemployment) | | ibge_censo | Census data (1970-2022) with 16 themes | | ibge_comparar | Compare indicators across localities with rankings |

Municipal Data (Cidades@)

| Tool | Description | |:-----|:------------| | ibge_cidades | Municipal indicators (population, HDI, GDP per capita, etc.) |

International Data

| Tool | Description | |:-----|:------------| | ibge_paises | Country data following UN M49 methodology |

Demographics

| Tool | Description | |:-----|:------------| | ibge_populacao | Real-time Brazilian population projection | | ibge_nomes | Name frequency and rankings in Brazil |

Classifications

| Tool | Description | |:-----|:------------| | ibge_cnae | CNAE (National Classification of Economic Activities) |

Maps & Geographic Meshes

| Tool | Description | |:-----|:------------| | ibge_malhas | Geographic meshes (GeoJSON, TopoJSON, SVG) | | ibge_malhas_tema | Thematic meshes (biomes, Legal Amazon, semi-arid) |

Health

| Tool | Description | |:-----|:------------| | ibge_datasaude | Health indicators via IBGE's SIDRA |

News & Calendar

| Tool | Description | |:-----|:------------| | ibge_noticias | IBGE news and press releases | | ibge_calendario | IBGE release and collection calendar |

Which tool should I use?

With 22 tools, several can touch the same topic. Quick guide for the common overlaps:

Population & demographics

| You want… | Use | |:----------|:----| | Brazil's population right now (real-time) | ibge_populacao | | A single municipality/state panel (population, HDI, GDP…) | ibge_cidades | | Census data or historical series (1970–2022) | ibge_censo | | Rank/compare 2–10 localities on one indicator | ibge_comparar | | A macro indicator time series (GDP, IPCA, unemployment…) | ibge_indicadores | | A specific SIDRA table / fine control | ibge_sidra |

Economic indicators

| You want… | Use | |:----------|:----| | IPCA, INPC, GDP, unemployment (IBGE, primary source) | ibge_indicadores |

Localities & codes

| You want… | Use | |:----------|:----| | List/search municipalities | ibge_municipios | | List states | ibge_estados | | Resolve a name→code at any level, or decode a code's structure | ibge_geocodigo | | Full record of one locality you already have the code for | ibge_localidade | | Neighboring municipalities | ibge_vizinhos |

SIDRA workflow

Discover → inspect → query: ibge_pesquisas / ibge_sidra_tabelas (find a table) → ibge_sidra_metadados (its structure) → ibge_sidra (query). For common data, the wrappers above (ibge_censo, ibge_indicadores, ibge_comparar, ibge_cidades) are usually easier.

Maps (meshes)

| You want… | Use | |:----------|:----| | Administrative outlines (Brazil/region/state/municipality) | ibge_malhas | | Thematic areas (biomes, Legal Amazon, semi-arid, metro regions) | ibge_malhas_tema |

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 |

ibge_datasaude

Query Brazilian health indicators served through IBGE's SIDRA (some originally produced by DataSUS, e.g. mortality and births).

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

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

# List indicators
ibge_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

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
│       ├── datasaude.ts      # ibge_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: ```bash

Run all tests

npm test

Run tests with coverage

npm run test:coverage

Run linter

npm run lint ```

License

MIT

Author

Sidney da Silva Pereira Bissoli

References

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