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Control napari viewers with natural language for AI-assisted microscopy analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Napari MCP Server" yet — see the docs or source repo.
After connecting to the Napari MCP Server, list the layers in the current napari viewer, hide the background layer, show only nucleus-related layers, and zoom to the center region of the sample.
Returns the layer operation results and updates the napari viewer with the requested visibility and zoom changes.
Please inspect the cell segmentation label layer in the current viewer, count the objects, flag unusually large objects, and describe regions that may need manual review.
Provides object counts, anomaly flags, and a brief summary of regions recommended for manual review.
Switch the current napari view to 3D mode, adjust contrast to highlight fluorescence signals, and save screenshots of each key layer visualization in sequence.
Adjusts the view mode and display settings, then generates screenshot files for the key layers.
Connect to Jupyter via MCP to run code and explore data interactively.
Connect to the mcp API via MCP to extend AI tool capabilities.
Connect AI agents to control local JupyterLab for coding and analysis.
Enable AI to edit, transform, and automate advanced image processing tasks.
Let reasoning models inspect images through description-only vision integration.
Connect and manage Jupyter notebooks for interactive coding, analysis, and visualization.