mcp-saude-brasil
Related Servers
Alternatives to mcp-saude-brasil
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceAllows users to query the dental registry of the Regional Council of Dentistry of São Paulo from official sources.MIT
- AlicenseNot gradedqualityCmaintenanceEnables natural language queries to official dental council registration data in Tocantins, Brazil. Read-only, hosted, and works with any MCP client.MIT
- AlicenseNot gradedqualityCmaintenanceEnables querying the official registry of the Regional Council of Dentistry of Paraná (Brazil) for professional registration data. It provides a read-only tool to consult official records via natural language.MIT
- AlicenseNot gradedqualityCmaintenanceRead-only MCP server for querying official dental registration data from the Regional Council of Dentistry of Alagoas (Brazil). It provides a single tool to consult professional records via a hosted HTTP endpoint with prepaid credits.MIT
- AlicenseNot gradedqualityCmaintenanceProvides read-only access to official dentistry registration data from the Paraíba Regional Council of Dentistry (CRO-PB) via a hosted, pay-per-use MCP API.MIT
- AlicenseNot gradedqualityCmaintenanceEnables querying health establishment data from the Brazilian Federal Council of Medicine (CFM), providing read-only access to official information.MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: one for municipality-level dentist counts, one for UF-level all categories, and one for data caveats/explanation. There is no overlap or ambiguity between them.
All tool names share the 'saude_' prefix and use lowercase snake_case, which is consistent. 'saude_uf' is slightly terser than the others, but the pattern is still predictable and readable.
Three tools is a reasonable count for a narrowly focused server on Brazilian dental data. Each tool serves a distinct purpose, though one is more informational than a data query.
The server covers municipality-level dentists and UF-level all categories, but lacks municipality-level data for other categories (e.g., clinics, labs) and national-level aggregates. The caveats tool adds context but does not fill these data gaps.