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weathernws · job 81%WeatherAI.io MCP Server · job 73%akaramanapp_weather_mcp_server · job 84%national_weather_service · job 74%weatherdemo · job 85%weathermap · job 74%mcp_demo · job 84%smithery_mcp_servers · job 85%caiyun_weather_mcp · job 75%aic · job 90%world-weather-online-mcp · job 78%Meteomatics · job 73%thinkzone · job 86%apiworld · job 81%aicollectivetest · job 82%Weathersight MCP · job 75%Weather Intelligence Service · job 73%eris_weather_mcp · job 72%aic_test · job 80%noaa_climate_mcp_server · job 74%noaa_spaceweather_mcp_server · job 73%mcp_weather_server_2 · job 79%lxh_weather_mcp_server · job 79%Vulnerable Weather MCP · job 70%weather · job 88%aicol · job 85%weather_mcp_server · job 73%nws_weather_mcp_server · job 86%apiworlddemoweather · job 83%bamboo0909_weather_mcp_server · job 78%weather_mcp_server_2 · job 73%aviation_weather_mcp_server · job 73%QWeather MCP · job 73%IRIS Weather MCP · job 76%Doc AI · job 76%Athena Weather MCP · job 85%MCP Weather · job 75%Weather MCP Server · job 83%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