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Analyze galaxy morphology with GALFIT, GalfitS, and optional residual inspection.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "galaxy_morphology_mcp" yet — see the docs or source repo.
Run a GALFIT morphology fit on this single-band galaxy image. Return the Sersic index, effective radius, axis ratio, position angle, and a brief fit-quality summary.
A table of single-band fit parameters, key morphology metrics, and a short assessment of fit quality.
Perform a joint GalfitS fit on this set of multi-band galaxy images. Compare structural parameter changes across bands and identify any color gradients or morphology differences.
Joint multi-band fitting results, cross-band parameter comparisons, and an interpretation of possible color or structural changes.
After fitting the galaxy, use VLM-based residual analysis to determine whether there are bars, merger signatures, spiral arms, or regions indicating fit failure.
An intelligent residual-diagnosis summary highlighting suspicious structures and recommending whether refitting is needed.
Turn any codebase into a queryable knowledge graph with galaxy visualization.
Analyze images for AI-generation signs using multiple forensic inspection methods.
Extract image color, texture, and shape features for precise comparison and quality assessment.
Query multiple AI models in parallel and get structured judged analysis.
Analyze images and videos with configurable model providers for visual understanding.
Analyze GIF metadata, export frames, and inspect per-frame timing details.