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Configure, run, debug, and analyze SWMF space weather modeling workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SWMF MCP Server" yet — see the docs or source repo.
Inspect this SWMF project's context, key configuration files, and output artifacts, then explain in English what each part does, how they relate, and which files I should review first.
A structured overview of the project, key files, artifact meanings, and a recommended review order.
Help me prepare an SWMF run configuration for a solar wind event: validate the parameters, identify missing items, and provide an executable build-and-run checklist.
Validated configuration guidance, a list of parameter issues, and clear build and execution steps.
Compare the outputs and logs from these two SWMF runs, identify the main causes of the result differences, and determine whether there are configuration mistakes, build problems, or runtime anomalies.
A comparison and diagnostic report listing anomaly sources, supporting evidence, and recommended fixes.
Lets AI agents inspect fact-check scope, evidence gaps, and review requirements.
Provides current weather and forecasts for AI-powered, context-aware applications.
Manage files, monitor systems, keep notes, and fetch weather via MCP.
Use AI planning and execution to analyze files and automate multi-step tasks.
Get weather forecasts via MCP while learning AI tool integration patterns.
Equip AI agents with persistent skills and secure executable scripting.