📌Overview

Purpose: The WebPerfect MCP Server aims to automate and enhance the processing of web-ready images through an intelligent batch pipeline.

Overview: WebPerfect MCP Server is a robust server designed for efficiently processing images with advanced enhancements. Its fully automated batch pipeline ensures high-quality output with several optimization features, making it ideal for web deployment.

Key Features:

Advanced Image Processing Pipeline: Offers a strong suite of tools including noise reduction, auto levels/curves, and texture enhancement, ensuring images are sharpened and optimized for quality and size.
Optimized Compression: Delivers smaller file sizes without loss of quality through effective compression techniques, particularly benefiting web applications that require fast loading times.

WebPerfect MCP Server

An intelligent MCP server with a fully automated batch pipeline for web-ready images. It features optimized compression for smaller file sizes without sacrificing quality.

Features

Advanced Image Processing Pipeline

Noise reduction using median filtering
Intelligent auto levels and curves based on image entropy
Texture enhancement with modulation and sharpening
Resolution optimization (up to 4K)
Optimized WebP conversion

Tools

`process_images`

Process and optimize a batch of images.

{
  inputDir: string;      // Directory containing input images
  outputDir: string;     // Directory for optimized output
}

Installation

Clone the repository:

git clone https://github.com/splendasucks/webperfect-mcp-server.git
cd webperfect-mcp-server

Install dependencies:
```
npm install
```
Build the server:
```
npm run build
```

Usage with Claude

Add the server to your Claude MCP settings:

{
  "mcpServers": {
    "webperfect": {
      "command": "node",
      "args": ["/path/to/webperfect-mcp-server/build/index.js"],
      "env": {}
    }
  }
}

Restart Claude to load the MCP server.
The server will be available through Claude's MCP tools:

// Process a batch of images
<use_mcp_tool>
<server_name>webperfect</server_name>
<tool_name>process_images</tool_name>
<arguments>
{
  "inputDir": "/path/to/input",
  "outputDir": "/path/to/output"
}
</arguments>
</use_mcp_tool>

// Access processing statistics
<access_mcp_resource>
<server_name>webperfect</server_name>
<uri>stats/summary</uri>
</access_mcp_resource>

Requirements

Node.js >= 16
Sharp image processing library
Model Context Protocol SDK

License

MIT