mcp · handle akaramanapp_weather_mcp_server · source page
weathernws · job 89%aic · job 86%smithery_mcp_servers · job 87%weathermap · job 77%mcp_demo · job 89%weatherdemo · job 86%national_weather_service · job 84%aicollectivetest · job 88%world-weather-online-mcp · job 82%apiworlddemoweather · job 87%nws_weather_mcp_server · job 86%mcp_server_learn · job 84%weekly_weather_mcp · job 82%aicol · job 88%weather · job 77%weather_mcp_server · job 76%mcp_weather_server · job 82%mcp_weather_server_2 · job 77%open_meteo_mcp_server · job 76%Open-Meteo Weather · job 79%apiworld · job 82%thinkzone · job 91%mcp_openweather · job 79%aviation_weather_mcp_server · job 77%weather_forecast_mcp_server · job 76%Life Assistant MCP Server · job 73%aic_test · job 83%MCP Weather · job 73%Space Weather MCP Server · job 76%Athena Weather MCP · job 85%Weather MCP · job 72%Open-Meteo MCP · job 77%Weather Patterns · job 76%Weather MCP Server · job 92%Weather Intelligence Service · job 77%Percentages are graph-similarity metadata, not suitability scores. A graph edge answers “is it connected” — plan fit and comparable cost are checked below.
Pick the exact reference and alternative series. Each history is separate; gaps stay gaps.
This view calls the same get_evidence tool your agent would — chart, table and MCP response describe the same records. Watch the reference series