"author:Maitri-Labs-Amrita" matching MCP servers:

Enables vision-language-model agents to examine clinical CT volumes the way a clinician does — orbiting and zooming the 3D view, applying volume-rendering presets, clipping, scrolling slices, measuring HU and distances, and showing or isolating segmented structures — using only named, range-checked tools with no code execution. Every call is logged with its arguments, resulting state and rendered frames so runs can be audited, replayed and scored as training data.