SidneyBissoli/ibge-br-mcp
by Various
MCP Server for IBGE APIs - Brazilian geographic, demographic and statistical data
MCP
SidneyBissoli/ibge-br-mcp
Added 1 June 2026
Overview
A Model Context Protocol (MCP) server that exposes Brazilian Institute of Geography and Statistics (IBGE) APIs. It provides geographic, demographic, and statistical data from IBGE through the MCP standard, enabling AI agents and tools to query official Brazilian data. Built in TypeScript.
Best for
Best for
Developers building AI tools that need official Brazilian geographic and statistical data via MCP
Use cases
- Integrate Brazilian census and demographic data into AI assistants
- Query official geographic and statistical information via MCP
- Access IBGE public APIs through a standardized protocol
Notes
A Model Context Protocol (MCP) server that exposes Brazilian Institute of Geography and Statistics (IBGE) APIs. It provides geographic, demographic, and statistical data from IBGE through the MCP standard, enabling AI agents and tools to query official Brazilian data. Built in TypeScript.
2 stars on GitHub. Last updated 2026-01-23. Licensed MIT.
Use cases
- Integrate Brazilian census and demographic data into AI assistants
- Query official geographic and statistical information via MCP
- Access IBGE public APIs through a standardized protocol
Pros
- Direct access to authoritative Brazilian government data
- Standard MCP interface simplifies integration
- TypeScript codebase is familiar to many developers
Cons
- Very low community adoption (only 2 stars)
- Limited to IBGE data, no other Brazilian sources
- May lack documentation and support due to small user base
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Direct access to authoritative Brazilian government data
- Standard MCP interface simplifies integration
- TypeScript codebase is familiar to many developers
Cons
- Very low community adoption (only 2 stars)
- Limited to IBGE data, no other Brazilian sources
- May lack documentation and support due to small user base
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