MCP Servers

mcp_images

MCP server for raster image manipulation using Pillow and OpenCV. Enables image operations such as resizing, cropping, rotating, format conversion, filtering, and auto-enhancement via MCP tools.

README

mcp_images

MCP server for raster image manipulation — Pillow + OpenCV. 24 tools across draw, filter, transform, metadata, and analysis categories.

Requires pi-mcp-bridge to connect to pi.

Installation

pip install git+https://github.com/timaliev/mcp_images.git

Or via uv:

uv tool install git+https://github.com/timaliev/mcp_images.git
# with analysis extras (diff, qr, bgremove):
uv tool install git+https://github.com/timaliev/mcp_images.git[mcp-images]
pip install mcp-images[analysis]

Configuration

With pi-mcp-bridge

In ~/.pi/agent/settings.json:

{
  "mcpBridge": {
    "servers": [
      {
        "name": "raster",
        "command": "mcp-raster",
        "args": []
      }
    ]
  }
}

Standalone MCP client

In ~/.mcp.json:

{
  "mcpServers": {
    "raster": {
      "command": "mcp-raster",
      "args": []
    }
  }
}

Tools (24 total)

Core

Tool	Description
`raster_info`	Image metadata: dimensions, format, mode, DPI, file size
`raster_convert`	Convert format (png, jpeg, webp, tiff, bmp). Use `fmt` parameter
`raster_resize`	Resize by dimensions, scale, or fit mode
`raster_crop`	Crop to rectangle
`raster_rotate`	Rotate by degrees
`raster_adjust`	Brightness, contrast, saturation, sharpness, gamma

Draw

Tool	Description
`raster_text`	Overlay text with font size and color
`raster_draw`	Draw shapes: rect, circle, line, arrow

Filters

Tool	Description
`raster_filter`	Blur, sharpen, denoise, grayscale, invert, threshold. Use `filter_name`
`raster_enhance`	Auto-enhance: contrast, color, sharpness, all

Transform

Tool	Description
`raster_perspective`	4-point perspective correction
`raster_morphology`	Morphological ops: dilate, erode, open, close
`raster_balance`	Auto balance: equalize, autocontrast, auto white
`raster_padding`	Add border/margin with fill color
`raster_channels`	Channel ops: extract, swap, reorder
`raster_compress`	Compress: quality control, metadata stripping

Metadata

Tool	Description
`raster_exif`	Extract EXIF metadata as dict
`raster_colorspace`	Convert: RGB, HSV, LAB, grayscale
`raster_blend`	Alpha-blend two images
`raster_contours`	Find contours with OpenCV, draw on output

Analysis (requires `pip install mcp-images[analysis]`)

Tool	Description
`raster_diff`	SSIM structural similarity between two images
`raster_histogram`	Channel histogram (R/G/B/all)
`raster_edge`	Canny edge detection
`raster_qr`	Decode QR codes and barcodes
`raster_bgremove`	Remove background (returns RGBA)

Development

git clone https://github.com/timaliev/mcp_images.git
cd mcp_images
uv run pytest

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