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Let remote LLMs inspect local containers, processes, and services in real time.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "WEATHGARDS" yet — see the docs or source repo.
Use WEATHGARDS to inspect local Docker containers, list unexpectedly stopped containers, show recent logs and related port usage, and provide troubleshooting suggestions.
A report with container statuses, key log excerpts, port conflict details, and actionable troubleshooting advice.
Through WEATHGARDS, query the local processes using the most CPU and memory, map them to related services, and summarize any abnormal resource consumption.
A list of high-usage processes, resource metrics, related service mapping, and a summary of abnormal findings.
Use WEATHGARDS to check local system service status, identify failed or frequently restarting services, and compile a health check summary.
A service health overview including problematic services, restart frequency, and recommended remediation steps.
Deploy a weather MCP server for real-time forecasts in desktop AI tools.
Enable MCP-compatible models to access disk, files, and live weather data.
Get weather forecasts and handle Gmail tasks from one MCP server.
Provides current weather and forecasts for AI-powered, context-aware applications.
Call tools like weather lookup via MCP with reusable resources and prompts.
Query live city weather with get_weather, no API key needed.