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WebP Batch Converter

by mhe8mah

WebP Batch Converter

A Model Context Protocol (MCP) server for batch converting images to WebP format with cross-platform support. Works seamlessly with MCP-aware IDEs like Cursor.

🌟 Features

  • 🖼️ Batch conversion of PNG, JPG, and JPEG files to WebP
  • 🌍 Cross-platform support (macOS, Linux, Windows)
  • Multi-threaded processing for fast conversions
  • 🎛️ Flexible options including quality control, lossless mode, and metadata preservation
  • 📊 Detailed reporting with file sizes and savings statistics
  • 🔧 Dual engine support - prefers Google's cwebp, falls back to Sharp
  • 🎯 MCP integration for use in AI-powered development environments

📦 Installation

Global Installation

npm install -g webp-batch-mcp

Local Development

git clone https://github.com/mhe8mah/webp-batch-mcp.git cd webp-batch-mcp npm install npm run build

Docker

docker build -t webp-batch . docker run -v /path/to/images:/data webp-batch

🚀 Usage

Command Line Interface

node dist/cli.js [options]
Options
  • --src <dir> - Source directory to scan (default: current directory)
  • --quality <0-100> - WebP quality setting (default: 75)
  • --lossless - Use lossless encoding (recommended for PNG)
  • --overwrite - Replace original files with WebP versions
  • --threads <n> - Number of concurrent conversions (default: CPU count)
  • --preserve-meta - Preserve EXIF and ICC metadata
  • --flat <dir> - Output all WebP files to specified directory
Examples
# Convert all images in current directory node dist/cli.js # High quality conversion of specific directory node dist/cli.js --src ./photos --quality 95 --preserve-meta # Lossless conversion with overwrite node dist/cli.js --src ./images --lossless --overwrite # Batch process to output directory node dist/cli.js --src ./input --flat ./output --threads 8

MCP Server

The MCP server exposes a single tool: convert_to_webp

Tool Parameters
{ "src": "string", // Source directory (default: ".") "quality": "number", // Quality 0-100 (default: 75) "lossless": "boolean", // Lossless mode (default: false) "overwrite": "boolean", // Replace originals (default: false) "threads": "number", // Concurrent threads (default: CPU count) "preserveMeta": "boolean", // Keep metadata (default: false) "flat": "string" // Output directory (optional) }

⚙️ How to Add This Server in Cursor

  1. Clone and build the project:
git clone https://github.com/mhe8mah/webp-batch-mcp.git cd webp-batch-mcp npm install npm run build
  1. Open Cursor Settings
  2. Navigate to FeaturesMCP
  3. Add a new server configuration:
{ "mcpServers": { "webp-batch": { "command": "node", "args": ["/path/to/webp-batch-mcp/dist/server.js"] } } }
  1. Restart Cursor
  2. The convert_to_webp tool will be available in your AI conversations

🔧 Technical Details

Conversion Strategy

  1. Primary Engine: Google's cwebp tool (included in libwebp-tools)
    • Fastest performance
    • Best compression
    • Full feature support
  2. Fallback Engine: Sharp (Node.js)
    • Pure JavaScript implementation
    • No external dependencies
    • Cross-platform compatibility

Output Behavior

  • Default: Creates .webp files alongside originals
  • Overwrite mode: Replaces originals with WebP versions
  • Flat mode: Outputs all WebP files to specified directory
  • Metadata preservation: Maintains EXIF and ICC profiles when requested

Performance

  • Utilizes all CPU cores by default
  • Processes images concurrently using p-limit
  • Provides real-time progress feedback
  • Reports detailed conversion statistics

🛠️ Development

Building

npm run build

Testing

npm test

Development Mode

npm run dev

📊 Test Results

Verified with real web images:

  • JPEG (35KB → 17KB): 51% space savings
  • PNG (7.9KB → 2.8KB): 65% space savings
  • Overall: 53% average compression

📋 Dependencies

Runtime

  • @modelcontextprotocol/sdk - MCP server framework
  • sharp - Image processing fallback
  • chalk - Colorized terminal output
  • commander - CLI argument parsing
  • glob - File pattern matching
  • p-limit - Concurrency control

Development

  • typescript - Type safety
  • tsup - Fast TypeScript bundler
  • jest - Testing framework

📄 License

MIT License - see LICENSE file for details.

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Ensure all tests pass
  5. Submit a pull request

🆘 Support

For issues and feature requests, please use the GitHub issue tracker.

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

An MCP server that enables batch conversion of images to WebP format with configurable options like quality settings, lossless mode, and multi-threading support.

  1. 🌟 Features
    1. 📦 Installation
      1. Global Installation
      2. Local Development
      3. Docker
    2. 🚀 Usage
      1. Command Line Interface
      2. MCP Server
    3. ⚙️ How to Add This Server in Cursor
      1. 🔧 Technical Details
        1. Conversion Strategy
        2. Output Behavior
        3. Performance
      2. 🛠️ Development
        1. Building
        2. Testing
        3. Development Mode
      3. 📊 Test Results
        1. 📋 Dependencies
          1. Runtime
          2. Development
        2. 📄 License
          1. 🤝 Contributing
            1. 🆘 Support

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