Skip to main content
Glama

Related Servers

Alternatives to sih-br-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      C
      quality
      B
      maintenance
      Enables users to query Brazil's public healthcare data through read-only fixed tools for hospital and outpatient activity, facility capacity, geographic signals, mortality, and reviewed rare-disease billing views. It returns reviewed aggregate views, not patient records, and includes metadata and coverage checks to interpret scope and limitations.
      7
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables 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
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables secure, read-only querying of the e-SUS APS/PEC PostgreSQL data warehouse for clinical extraction, care-line tracking, audit, and public-health indicator monitoring through LGPD-compliant anonymization.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      MCP server for loading and querying public data from the Brazilian National Registry of Health Establishments (CNES). It enables natural language searches for health facilities by municipality, CNES code, or state, along with statistics and data loading.
      6
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Read-only MCP server for querying Brazilian CNES health establishment data in PostgreSQL, enabling AI-assisted database exploration and analysis.
      -

    TDQS

    A3.9/5.0

    Scored across 12 tools

    Disambiguation3/5

    The CSAP-vs-general split is mostly clear (get_icsap vs get_hospitalizations, get_icsap_indicators vs get_hospitalization_rates), but the analysis family overlaps heavily: compare_icsap_trends, compare_regions and get_hospitalization_trends all produce cross-UF/time comparisons, and rank_csap_groups largely duplicates a grouped get_icsap call. Descriptions are unusually detailed and do help, but an agent must read them carefully to pick the right comparison tool.

    Naming Consistency5/5

    All 12 tools follow a consistent snake_case verb_noun pattern (get_, list_, compare_, rank_, classify_) with no case or style mixing. Names are predictable and readable, with the only variation being domain terminology (csap/icsap/hospitalization) rather than naming convention.

    Tool Count5/5

    12 tools sits comfortably in the well-scoped range, covering query, aggregation, trends, rates, indicators, ranking, comparison, classification and metadata without obvious redundancy padding. Each tool corresponds to a recognizable analytical need for this dataset.

    Completeness4/5

    The surface covers the full analytical lifecycle for SIH-SUS/CSAP data: raw queries, aggregation, rates, indicators, trends, rankings, comparisons, CSAP classification and year/chapter/group metadata. Minor gaps remain — no geography lookup (UF/municipality codes and names) and no general CID-10 code description lookup beyond chapters, which agents will need for filter construction.

    Maintenance

    ActivityActive
    ResponsivenessNo issues