Imagician - MCP Image Editor

A Model Context Protocol (MCP) server for comprehensive image editing operations including resizing, format conversion, cropping, compression, and more.

<a href="https://glama.ai/mcp/servers/@flowy11/imagician"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@flowy11/imagician/badge" alt="Imagician MCP server" /> </a>

Features

• Resize: Change image dimensions with various fit options
• Format Conversion: Convert between JPEG, PNG, WebP, and AVIF
• Crop: Extract specific regions from images
• Compress: Reduce file size with quality control
• Rotate: Rotate images by any angle
• Flip: Mirror images horizontally or vertically
• Batch Processing: Generate multiple sizes from a single image
• Metadata: Extract image information and properties

Installation

From npm

npm install -g @flowy11/imagician

From source

git clone https://github.com/flowy11/imagician.git
cd imagician
npm install
npm run build

Usage with Claude Code

Add to your Claude Code configuration (~/.config/claude/config/settings/mcp-servers.json):

{
  "imagician": {
    "command": "npx",
    "args": ["-y", "@flowy11/imagician"]
  }
}

Usage with Cursor

Add to your Cursor configuration (~/.cursor/mcp_settings.json):

{
  "mcpServers": {
    "imagician": {
      "command": "npx",
      "args": ["-y", "@flowy11/imagician"]
    }
  }
}

Usage with Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

Quick setup with npx (recommended):

{
  "mcpServers": {
    "imagician": {
      "command": "npx",
      "args": ["-y", "@flowy11/imagician"]
    }
  }
}

If installed globally via npm:

{
  "mcpServers": {
    "imagician": {
      "command": "imagician"
    }
  }
}

If installed from source:

{
  "mcpServers": {
    "imagician": {
      "command": "node",
      "args": ["/path/to/imagician/dist/index.js"]
    }
  }
}

Available Tools

resize_image

Resize an image to specified dimensions with various fit options.

Parameters:
- inputPath: Path to input image
- outputPath: Path to save resized image
- width: Target width in pixels (optional)
- height: Target height in pixels (optional)
- fit: How to resize (cover, contain, fill, inside, outside)
- preserveAspectRatio: Maintain aspect ratio (default: true)

convert_format

Convert between image formats with quality control.

Parameters:
- inputPath: Path to input image
- outputPath: Path to save converted image
- format: Target format (jpeg, png, webp, avif)
- quality: Quality for lossy formats (1-100, default: 80)

crop_image

Extract a specific region from an image.

Parameters:
- inputPath: Path to input image
- outputPath: Path to save cropped image
- left: Left offset in pixels
- top: Top offset in pixels
- width: Width of crop area
- height: Height of crop area

compress_image

Reduce image file size with quality settings.

Parameters:
- inputPath: Path to input image
- outputPath: Path to save compressed image
- quality: Compression quality (1-100, default: 80)
- progressive: Use progressive encoding for JPEG (default: true)

rotate_image

Rotate an image by any angle.

Parameters:
- inputPath: Path to input image
- outputPath: Path to save rotated image
- angle: Rotation angle in degrees (positive = clockwise)
- background: Background color for exposed areas (default: #000000)

flip_image

Mirror an image horizontally or vertically.

Parameters:
- inputPath: Path to input image
- outputPath: Path to save flipped image
- direction: Flip direction (horizontal, vertical, both)

get_image_info

Extract metadata and information about an image.

Parameters:
- inputPath: Path to image file

Returns: format, dimensions, color space, file size, etc.

batch_resize

Generate multiple sizes from one image (perfect for responsive images).

Parameters:
- inputPath: Path to input image
- outputDir: Directory to save resized images
- sizes: Array of {width, height?, suffix}
- format: Output format for all sizes (optional)

Example Usage in Claude

"Please resize image.jpg to 800x600 pixels"
"Convert photo.png to WebP format with 90% quality"
"Crop avatar.jpg starting at (100, 100) with 200x200 size"
"Generate thumbnail sizes: 150px, 300px, and 600px wide"

Development

# Install dependencies
npm install

# Build TypeScript
npm run build

# Run in development mode
npm run dev

License

MIT