mcp · handle lxh_weather_mcp_server · source page
mcp_weather_server_2 · job 78%bamboo0909_weather_mcp_server · job 93%nws_weather_mcp_server · job 82%WeatherAI.io MCP Server · job 78%weathernws · job 71%weather_intel_mcp · job 74%Meteomatics · job 81%aic · job 81%world-weather-online-mcp · job 82%mcp_server_learn · job 79%GribStream.com Historical Weather Forecast API · job 70%weather · job 88%weather_mcp_server · job 77%Vulnerable Weather MCP · job 72%weathermap · job 74%weather_mcp_server_2 · job 77%eris_weather_mcp · job 78%gvrn_incorporation · job 78%caiyun_weather_mcp · job 78%Doc AI · job 79%MCP Weather · job 86%vsfclubmcpsrimaan · job 77%vsfclub5 · job 75%ground_motion · job 73%weather_prediction_mcp · job 78%IRIS Weather MCP · job 84%QWeather MCP · job 79%herego_video · job 79%rasadi · job 77%Weathersight MCP · job 82%Weather Intelligence Service · job 75%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