CensoSenso MCP
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- AlicenseAqualityBmaintenanceExposes official IBGE data as MCP tools, including Brazilian localities, SIDRA statistical aggregates, and population indicators.11MIT
- FlicenseNot gradedqualityDmaintenanceEnables LLMs to access Brazilian IBGE statistical data (population, economy, agriculture) via natural language, with tools for querying aggregated data and metadata.-
- AlicenseAqualityDmaintenanceEnables AI agents to access Brazilian statistical, geographic, and economic data in real-time via IBGE public APIs.3211 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables natural-language querying of Brazilian public health indicators from DataSUS microdata — mortality, dengue, hospitalizations, ICSAP, and births — through 41 tools covering consultation, analysis (peer-stratum comparison, dengue endemic channel, weekly bulletin), reliability warnings, and anomaly detection. It runs locally against the public API with anti-hallucination rules so every figure comes from a tool with its source cited.MIT
- AlicenseAqualityBmaintenanceEnables querying official Brazilian territorial data (IBGE), including municipalities, regions, population, and GDP, while automatically handling cross-dataset code mismatches like 6- vs 7-digit municipality codes.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to query 153 live Brazilian government data tools across federal and state sources, including economy, legislature, judiciary, elections, health, education, and more, reading directly from original APIs.MIT
TDQS
Scored across 23 tools
Several SIDRA-based statistical wrappers (ibge_censo, ibge_indicadores, ibge_datasaude, ibge_comparar, ibge_cidades) overlap in the indicators they expose, and population data can be obtained from multiple tools. The extensive cross-references in descriptions help mitigate confusion, but an agent could still misselect when a question spans themes (e.g., population by municipality).
21 of 23 tools follow a consistent `ibge_` + snake_case noun pattern (e.g., ibge_sidra, ibge_municipios, ibge_sidra_tabelas). The two exceptions, `search` and `fetch`, are mandated by the OpenAI Deep Research contract and explained, but they still break the otherwise uniform prefix convention.
23 tools is heavy, but they map to distinct IBGE API families (SIDRA, Localidades, Nomes, Notícias, Malhas, CNAE, Países, etc.). The overlap among SIDRA wrappers suggests some consolidation is possible, but the breadth of the domain makes the count reasonable rather than excessive.
The surface covers the major IBGE data domains comprehensively: geography, census, economic/social indicators, health, names, news, release calendar, CNAE, countries, and meshes. The low-level ibge_sidra tool provides arbitrary SIDRA query access, closing gaps for less common surveys; no obvious read-only operation is missing for the stated domains.