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sliver MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

71,107 tools. Last updated 2026-02-10 12:29
  • Retrieve MRML node information from 3D Slicer by listing names, IDs, or properties with optional filtering by class, name, or ID.
  • Capture screenshots from 3D Slicer's application window, slice views, or 3D rendering views to provide visual feedback for AI-assisted medical image analysis.
  • Execute Python code within 3D Slicer to automate medical image processing tasks, manipulate scene elements, and perform calculations in the visualization environment.
  • Retrieve MRML node details from the Slicer Web Server API. Filter by node names, IDs, properties, class name, or specific ID to extract targeted information. Returns structured data for efficient medical image processing and scene analysis.
  • Run Python scripts within 3D Slicer to manipulate medical images, create models, or perform calculations. Assign results to `__execResult` for retrieval and handle errors with detailed feedback.

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