Image Optimizer
FreeNot checkedA Model Context Protocol server for image optimization with advanced transformations powered by Sharp, enabling resize, convert, batch process, crop, watermark,
About
A Model Context Protocol server for image optimization with advanced transformations powered by Sharp, enabling resize, convert, batch process, crop, watermark, and favicon generation from URLs or local files.
README
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 URLoutput- Output file pathwidth- Target width in pixelsheight- Target height in pixelsquality- Quality 1-100 for lossy formatsformat- 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 URLsoutputDir- Output directorywidth,height,quality,format- Same as single imageprefix- Add to filename startsuffix- 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 URLoutput- Output file paththreshold- Color similarity threshold 0-100backgroundColor- Background to detect
smart_crop
Intelligent cropping to specific dimensions.
Example:
"Smart crop portrait.jpg to 500x500 square"
Parameters:
input- Image path or URLoutput- Output file pathwidth,height- Target dimensionsstrategy- "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 URLwidth- 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 URLoutput- Output file pathwatermark- Path/URL to watermark image, base64 data, or textposition- Corner, center, diagonal, or tile patternopacity- Transparency 0-1scale- Size relative to base imagemargin- Distance from edgesblend- 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 filessizes- Custom sizes array (default: all standard sizes)platforms- Target platforms: web, apple, android, microsoft, allgenerateManifest- 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
cwdconfig 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
Install Image Optimizer in Claude Desktop, Claude Code & Cursor
unyly install mcp-image-optimizerInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add mcp-image-optimizer -- npx -y mcp-image-optimizerFAQ
Is Image Optimizer MCP free?
Yes, Image Optimizer MCP is free — one-click install via Unyly at no cost.
Does Image Optimizer need an API key?
No, Image Optimizer runs without API keys or environment variables.
Is Image Optimizer hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Image Optimizer in Claude Desktop, Claude Code or Cursor?
Open Image Optimizer on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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