time_series_analysis
Analyze trends over time with aggregation options
How to use it
time_series_analysis is exposed by the Pophive MCP Server MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the time_series_analysis tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
Install Pophive MCP Server
npm install -g @anthropic-ai/dxtOther tools in Pophive MCP Server (15)
(optional): Age group filter
(optional): Time aggregation (weekly, monthly, quarterly, yearly)
Compare health metrics across multiple states with statistical analysis
(optional): Condition/metric filter
(required): Dataset identifier
(optional): End date (YYYY-MM-DD)
Filter datasets by state, date range, demographics, and conditions
(optional): Geographic focus
Comprehensive catalog of all available datasets
(required): Metric to compare
Search across datasets for specific conditions or keywords
(optional): Start date (YYYY-MM-DD)
(optional): State code or name
(required): Array of state codes/names
(optional): Time period for comparison