PopHIVE MCP Server
Related Servers
Alternatives to PopHIVE MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to query U.S. public-health datasets such as disease surveillance, mortality, behavioral risk factors, and flu activity through the Socrata API, using natural language or direct tool calls.14 npmMIT
- AlicenseAqualityCmaintenanceEnables AI assistants to query US COVID-19, influenza, and RSV surveillance data with per-value reliability flags, plain-language caveats, revision histories, and as-of snapshots.6MIT
- AlicenseNot gradedqualityDmaintenanceProvides access to 73 CDC public health datasets covering disease surveillance, vaccination tracking, behavioral risk factors, environmental health, and outbreak detection across 18 surveillance systems through the Socrata Open Data API.2MIT
- AlicenseNot gradedqualityBmaintenanceProvides access to UNICEF data on global statistics about child health, enabling AI agents to query child health indicators.7 npmMIT
- AlicenseBqualityDmaintenanceProvides access to the World Health Organization's Global Health Observatory data, enabling AI assistants to search, retrieve, and analyze comprehensive health indicators, country statistics, disease burden data, and regional health trends through WHO's OData API.1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query pre-aggregated VAERS vaccine adverse event report counts by vaccine, manufacturer, symptom, year, and severity, plus coverage metadata about the loaded dataset. Every response is count-only and carries an explicit non-causality disclaimer, so report volumes can be explored without being mistaken for confirmed safety signals.22 npmMIT
TDQS
Scored across 5 tools
Each tool serves a clearly distinct purpose: comparing states, filtering datasets, listing datasets, searching, and time series analysis. No two tools have overlapping functionality.
Most tools follow a verb_noun pattern (compare_states, filter_data, get_available_datasets, search_health_data). time_series_analysis is slightly less imperative but still descriptive and consistent in style.
With 5 tools, the server is well-scoped for a health data exploration API. Each tool addresses a key operation without redundancy or bloat.
The tool set covers core data exploration needs: discovery, search, filtering, comparison, and trend analysis. Minor missing features like data export exist but are optional for a query-focused server.