Mcp Image Optimizer

by piephai

358 downloads
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GitHub

About

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

Details

Author
piephai
Downloads
358
Categories
Media

- Resize, convert, and transform images in multiple formats
- Batch process multiple images at once
- Intelligent cropping and auto-crop to remove borders
- Generate low-quality image placeholders for lazy loading
- Add image or text watermarks with positioning options
- Generate all favicon sizes and formats for web apps

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Mcp Image Optimizer
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install via npx -y mcp-image-optimizer or globally with npm install -g mcp-image-optimizer. Add the server to your MCP client’s configuration (e.g., Claude Desktop, VS Code, Cursor) using the command npx with args ["mcp-image-optimizer"]. Then ask your AI assistant any of the supported image operations using file paths or URLs.

optimize_image

Optimize an image from a file path or URL with various transformation options

batch_optimize

Optimize multiple images at once

get_image_info

Get metadata and information about an image

auto_crop

Automatically crop image to remove borders, whitespace, or solid color backgrounds

smart_crop

Intelligently crop image to specified dimensions using entropy or attention detection

create_placeholder

Generate a low-quality image placeholder (LQIP) for lazy loading

add_watermark

Add a watermark image or text to an image

generate_favicon

Generate all favicon sizes and formats needed for modern web apps

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

Installation

<details open>
<summary>Install in Claude Code</summary>

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.

</details>

<details>
<summary>Install in Claude Desktop</summary>

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"]
    }
  }
}

</details>

<details>
<summary>Install in OpenAI Codex</summary>

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.

</details>

<details>
<summary>Install in VSCode</summary>

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

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

</details>

<details>
<summary>Install in Cursor</summary>

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"]
    }
  }
}

</details>

<details>
<summary>Alternative: Global Install</summary>

Install globally for faster startup:

npm install -g mcp-image-optimizer

Then use this simpler config in any client:

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

</details>

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

<details>
<summary><code>optimize_image</code></summary>

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

</details>

<details>
<summary><code>batch_optimize</code></summary>

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

</details>

<details>
<summary><code>get_image_info</code></summary>

Extract image metadata.

Example:

"Get info about image.jpg"

Returns:
- Dimensions, format, color space
- File size, DPI
- EXIF data presence

</details>

<details>
<summary><code>auto_crop</code></summary>

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

</details>

<details>
<summary><code>smart_crop</code></summary>

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"

</details>

<details>
<summary><code>create_placeholder</code></summary>

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"

</details>

<details>
<summary><code>add_watermark</code></summary>

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

</details>

<details>
<summary><code>generate_favicon</code></summary>

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)

</details>

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

- GitHub Repository
- NPM Package
- Report Issues

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