# cellpose-mcp

Source: https://glimind.com/server/pypi%2Fcellpose-mcp
Registry id: `pypi/cellpose-mcp`
Status: unknown

## Install

```json
{
  "mcpServers": {
    "cellpose-mcp": {
      "command": "uvx",
      "args": [
        "cellpose-mcp"
      ]
    }
  }
}
```

Claude Code:

```sh
claude mcp add cellpose-mcp -- uvx cellpose-mcp
```

## Tools (13)

- `deblur_image`: Deblur microscopy images
- `denoise_image`: Denoise microscopy images
- `estimate_cell_diameter`: Estimate cell diameter from image
- `list_available_models`: List all pretrained models
- `load_image_info`: Get image metadata
- `restore_and_segment`: Combined restoration + segmentation
- `save_masks`: Save masks in various formats
- `segment_cells_2d`: Segment cells in 2D images
- `segment_cells_3d`: Segment cells in 3D volumes
- `segment_cells_batch`: Batch process multiple images
- `train_restoration_model`: Train custom restoration model
- `train_segmentation_model`: Train custom segmentation model
- `upsample_image`: Upsample low-resolution images

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.