mcp-territorio-brasil
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Alternatives to mcp-territorio-brasil
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceExposes official IBGE data as MCP tools, including Brazilian localities, SIDRA statistical aggregates, and population indicators.11MIT
- AlicenseNot gradedqualityCmaintenanceProvides read-only access to Brazilian municipality codes from IBGE, an official government source, via MCP. Works with any MCP-compatible client to query municipality data using natural language.MIT
- AlicenseAqualityBmaintenanceEnables querying, comparing, and analyzing official Brazilian IBGE data through 23 tools covering localities, demographics, census, SIDRA statistics, indicators, geography, health, sanitation, economy, and territorial snapshots. Responses preserve reproducible provenance, including source, URL, period or vintage, extraction timestamp, and derivation status, and it can run locally over STDIO or remotely via Cloudflare Workers.23MIT
- AlicenseAqualityDmaintenanceEnables AI agents to access Brazilian statistical, geographic, and economic data in real-time via IBGE public APIs.327 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables LLMs to access Brazilian IBGE statistical data (population, economy, agriculture) via natural language, with tools for querying aggregated data and metadata.-
- AlicenseNot gradedqualityCmaintenanceEnables querying official Brazilian territorial area data from IBGE through a single read-only tool, usable with any MCP client.MIT
TDQS
Scored across 3 tools
Each tool targets a distinct level of data: municipality, region, and data caveats. Although both municipio and regiao can reveal a municipality's region, their outputs and purposes are clearly differentiated. No ambiguity exists.
All tools follow the same `territorio_<entity>` snake_case pattern, making the set predictable and easy to navigate. The naming convention is uniform across all three tools.
Three tools is a focused, well-scoped set for a Brazilian territory data server. Each tool addresses a distinct need without redundancy or bloat.
The server covers municipality-level data, regional aggregates, and data-quality caveats, which covers the core needs for querying official Brazilian territorial divisions. No obvious missing operations exist for a read-only data server.