mcp-image-optimizer

piephai/mcp-image-optimizer

3.4

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MCP Image Optimizer is a server designed for advanced image processing and optimization using the Model Context Protocol.

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MCP Image Optimizer

A Model Context Protocol server for image optimization. Process images from URLs or local files with advanced transformations powered by Sharp.

Features

  • 🖼️ Process images from URLs or local files
  • 🔄 Resize, rotate, flip, blur, sharpen, and more
  • 📦 Batch process multiple images
  • 🎨 Convert between JPEG, PNG, WebP, AVIF, TIFF
  • ✂️ Auto-crop borders and whitespace
  • 🎯 Smart crop with attention detection
  • 🌫️ Generate low-quality placeholders (LQIP)
  • 💧 Add watermarks (image or text) with full control
  • 🌟 Generate favicons in all required sizes and formats

Installation

Install in Claude Code

Run this command to add the MCP server:

claude mcp add image-optimizer -- npx -y mcp-image-optimizer

See Claude Code MCP docs for more info.

Install in Claude Desktop

Add to your Claude Desktop config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "image-optimizer": {
      "command": "npx",
      "args": ["mcp-image-optimizer"]
    }
  }
}
Install in OpenAI Codex

Add the following configuration to your OpenAI Codex MCP server settings:

[mcp_servers.image-optimizer]
args = ["-y", "mcp-image-optimizer"]
command = "npx"

See OpenAI Codex for more information.

Install in VSCode

Add to your VS Code settings for MCP extensions like Cline or Continue:

{
  "image-optimizer": {
    "command": "npx",
    "args": ["mcp-image-optimizer"]
  }
}
Install in Cursor

Navigate to Settings → Cursor Settings → MCP → Add new global MCP server

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "image-optimizer": {
      "command": "npx",
      "args": ["mcp-image-optimizer"]
    }
  }
}
Alternative: Global Install

Install globally for faster startup:

npm install -g mcp-image-optimizer

Then use this simpler config in any client:

{
  "command": "mcp-image-optimizer"
}

Usage Examples

Ask your AI assistant:

  • "Optimize ~/Desktop/photo.jpg to 800px width"
  • "Convert https://images.pexels.com/photos/32206277/pexels-photo-32206277.jpeg to WebP"
  • "Batch optimize all images in ~/Downloads/"
  • "Create a 200x200 thumbnail with smart crop"
  • "Generate a placeholder for lazy loading"
  • "Add my company logo as watermark to product images"
  • "Add 'Copyright 2025' text watermark"
  • "Generate all favicon sizes from my logo"

Available Tools

optimize_image

Resize, convert, and transform images.

Example:

"Optimize image.jpg to 800px width with 85% quality"

Parameters:

  • input - Image path or URL
  • output - Output file path
  • width - Target width in pixels
  • height - Target height in pixels
  • quality - Quality 1-100 for lossy formats
  • format - Output format (jpeg, png, webp, avif, tiff)
  • fit - Resize fit mode (cover, contain, fill, inside, outside)
  • Plus rotate, flip, grayscale, blur, sharpen, normalize
batch_optimize

Process multiple images at once.

Example:

"Optimize all images in ~/Pictures/ to 1200px width"

Parameters:

  • inputs - Array of image paths or URLs
  • outputDir - Output directory
  • width, height, quality, format - Same as single image
  • prefix - Add to filename start
  • suffix - Add to filename end
get_image_info

Extract image metadata.

Example:

"Get info about image.jpg"

Returns:

  • Dimensions, format, color space
  • File size, DPI
  • EXIF data presence
auto_crop

Remove borders and whitespace automatically.

Example:

"Auto-crop screenshot.png to remove white borders"

Parameters:

  • input - Image path or URL
  • output - Output file path
  • threshold - Color similarity threshold 0-100
  • backgroundColor - Background to detect
smart_crop

Intelligent cropping to specific dimensions.

Example:

"Smart crop portrait.jpg to 500x500 square"

Parameters:

  • input - Image path or URL
  • output - Output file path
  • width, height - Target dimensions
  • strategy - "attention" or "entropy"
create_placeholder

Generate low-quality image placeholders for lazy loading.

Example:

"Create a blurred placeholder for hero-image.jpg"

Parameters:

  • input - Image path or URL
  • width - Placeholder width (default: 20)
  • height - Placeholder height (auto if not set)
  • quality - JPEG quality 1-100 (default: 40)
  • blur - Blur amount 0.3-1000 (default: 5)
  • format - "base64", "datauri", or "file"
add_watermark

Add image or text watermarks with positioning and styling.

Example:

"Add logo.png as watermark to photo.jpg in bottom-right corner"
"Add 'Copyright 2025' text watermark with 50% opacity"
"Add 'CONFIDENTIAL' diagonally across the document"

Parameters:

  • input - Image path or URL
  • output - Output file path
  • watermark - Path/URL to watermark image, base64 data, or text
  • position - Corner, center, diagonal, or tile pattern
  • opacity - Transparency 0-1
  • scale - Size relative to base image
  • margin - Distance from edges
  • blend - Blend mode for effects
  • Text options: text, fontSize, fontColor, fontFamily
generate_favicon

Generate all favicon sizes and formats for modern web apps.

Example:

"Generate favicons from logo.png and save to ./public"
"Create all icon sizes for my PWA"

Parameters:

  • input - Source image (recommend 512x512 or larger)
  • outputDir - Directory to save all favicon files
  • sizes - Custom sizes array (default: all standard sizes)
  • platforms - Target platforms: web, apple, android, microsoft, all
  • generateManifest - Create manifest.json snippet for PWAs

Generated files:

  • PNG favicons in all sizes (16x16 to 512x512)
  • apple-touch-icon.png (180x180)
  • android-chrome-192x192.png, android-chrome-512x512.png
  • mstile-150x150.png (Microsoft tile)
  • favicon-html.txt (ready-to-use HTML tags)
  • manifest-icons.json (PWA configuration)

Path Support

  • URLs: https://example.com/image.jpg
  • Absolute paths: /Users/name/Desktop/image.jpg
  • Home directory: ~/Desktop/image.jpg
  • ⚠️ Relative paths: Works with cwd config setting

To use relative paths, add a working directory:

{
  "command": "npx",
  "args": ["mcp-image-optimizer"],
  "cwd": "/Users/yourname/Desktop"
}

Requirements

  • Node.js 22+ (npx handles this automatically)
  • Compatible MCP client

Troubleshooting

"Command not found"

  • Make sure Node.js is installed: node --version
  • Try the global install method

"File not found"

  • Use absolute paths: /Users/name/Desktop/image.jpg
  • Check file permissions

"MCP tools not available"

  • Restart your MCP client after configuration
  • Check config file is valid JSON

License

MIT

Links