Analyze weather patterns and trends
weather-analystsubagentsetup L2★50
isdaniel/mcp_weather_server ↗What it does
Analyze weather trends, compare periods, detect extreme events from hourly data
Best for
Multi-period weather analysis when hour-by-hour comparisons and extreme event detection beat simple forecasts
Inputs
- · City name
- · Date range (YYYY-MM-DD)
- · Optional: specific variables, timezone
Outputs
- · Daily statistics (highs/lows/averages)
- · Trend direction analysis
- · Extreme event flags
- · Period comparison tables
- · Air quality analysis
Requires
- · MCP Weather Server
- · Air quality API
Preconditions
MCP weather server running; city location resolvable; Python async runtime
Failure modes
Date range exceeds API limits; missing data points; timezone ambiguity; extreme event thresholds arbitrary
Trust signals
- · Hourly data enables fine-grained trend analysis
- · Extreme criteria documented (heat wave, cold snap, storms)
- · Workflow examples show trend vs period comparison