IBGE Brasil MCP
Related Servers
Alternatives to IBGE Brasil MCP
- AlicenseAqualityDmaintenanceAn MCP server that enables querying detailed address information from Brazilian postal codes (CEPs) via the ViaCEP API, returning data such as street names, neighborhoods, cities, states, regions, and IBGE codes.12MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server that connects AI assistants to Brazilian public data services, providing access to postal codes, company registrations, bank information, area codes, IBGE data, currency exchange rates, and domain registration status.113 npm4MIT
- FlicenseNot gradedqualityDmaintenanceEnables lookup of Brazilian addresses by CEP (postal code) using the ViaCEP API, returning formatted address information including street, neighborhood, city, and state.1-
Related Servers
- AlicenseAqualityDmaintenanceEnables AI agents to access Brazilian statistical, geographic, and economic data in real-time via IBGE public APIs.3212 npmMIT
- FlicenseCqualityCmaintenanceProvides access to the Australian Bureau of Statistics (ABS) Data API. This server allows AI assistants to query and analyze ABS statistical data.19-
- AlicenseAqualityCmaintenanceAn MCP server that connects AI agents to over 200 tools across 27 Brazilian public APIs, covering economic, legislative, transparency, and judicial data. It enables users to query and cross-reference extensive government datasets from sources like IBGE, the Central Bank, and the Brazilian Congress.71,777MIT
- FlicenseNot gradedqualityDmaintenanceEnables LLMs to access Brazilian IBGE statistical data (population, economy, agriculture) via natural language, with tools for querying aggregated data and metadata.-
- AlicenseNot gradedqualityCmaintenanceMCP server for accessing IBGE (Brazilian Institute of Geography and Statistics) data, enabling natural language queries via the Pipeworx gateway.1 npmMIT
- AlicenseAqualityDmaintenanceMCP Server for accessing 36 Brazilian public data sources and 1 agent, enabling AI agents to query government data on economy, legislation, transparency, judiciary, elections, environment, health, and more.6MIT
TDQS
Scored across 23 tools
Most tools target clearly distinct resources (news, calendars, localities, meshes, SIDRA, names, countries). The main potential confusion is between the low-level ibge_sidra and the many wrappers (ibge_censo, ibge_indicadores, ibge_cidades, ibge_comparar), though the descriptions explicitly cross-reference and delineate when to use each.
The vast majority follow a consistent ibge_<resource> pattern with snake_case, e.g. ibge_municipios, ibge_sidra, ibge_malhas_tema. The two exceptions are the bare 'search' and 'fetch' tools, which break the prefix convention for a separate Deep Research contract.
At 23 tools, the set feels heavy for a single server, even though the IBGE domain is broad. The number is justified by the range of distinct data services, but it crosses the 16-25 borderline that starts to feel unwieldy.
The tool surface covers an impressively complete read-only IBGE workflow: discovery (search, pesquisas, sidra_tabelas), metadata (sidra_metadados), data queries (sidra, censo, indicadores, comparar, cidades), geography (estados, municipios, localidade, geocodigo, malhas), and auxiliary domains (nomes, paises, cnae, datasaude, noticias, calendario). No obvious dead ends remain for the stated statistical-data purpose.