MCP cover image
Splendasucks_webperfect-MCP-Server logo
Public

Splendasucks_webperfect-MCP-Server

See in Github
2024-12-25

镜像://github.com/splendasucks/webperfect-mcp-server

0

Github Watches

1

Github Forks

0

Github Stars

📷✨ WebPerfect MCP Server

Transform your images into web-optimized masterpieces with AI-powered precision

License: MIT Node.js Version Sharp


✨ Overview

WebPerfect is a cutting-edge MCP server that revolutionizes image optimization for the web. Using advanced AI algorithms and sophisticated processing techniques, it automatically enhances your images while dramatically reducing file sizes - all without compromising visual quality.

🚀 Key Benefits

  • Intelligent Processing: AI-powered algorithms adapt to each image's unique characteristics
  • Superior Quality: Enhanced visual clarity with smart sharpening and noise reduction
  • Maximum Compression: Achieve up to 80% size reduction while preserving image quality
  • Batch Automation: Process entire directories with a single command
  • Web Optimized: Perfect for modern web applications and responsive designs

🛠 Features

🔄 Advanced Image Processing Pipeline

  1. Strong noise reduction using median filtering
  2. Intelligent auto levels and curves based on image entropy
  3. Advanced texture enhancement with modulation and sharpening
  4. Smart resolution optimization (up to 4K)
  5. Optimized WebP conversion

🔧 Tools

📦 process_images

Effortlessly process and optimize entire image collections with our advanced enhancement pipeline.

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

📊 Resources

📈 Resource Templates

  • logs/{date}: Access processing logs by date (YYYY-MM-DD)

    {
      "date": "2024-01-20",
      "entries": [{
        "timestamp": "2024-01-20T10:00:00Z",
        "imagesProcessed": 15,
        "totalInputSize": "5.2MB",
        "totalOutputSize": "1.1MB",
        "compressionRatio": "78.8%",
        "averageProcessingTime": "1.2s"
      }]
    }
    
  • stats/monthly/{month}: Monthly statistics (YYYY-MM)

    {
      "month": "2024-01",
      "totalImagesProcessed": 450,
      "averageCompressionRatio": "82%",
      "popularFormats": {
        "input": ["JPEG", "PNG"],
        "output": ["WebP"]
      },
      "totalStorageSaved": "150MB"
    }
    

Static Resources

  • stats/summary: Overall processing statistics

    {
      "totalImagesProcessed": 5280,
      "averageCompressionRatio": "81%",
      "totalStorageSaved": "1.8GB",
      "popularEnhancements": [
        "noise_reduction",
        "auto_levels_curves",
        "texture_enhancement"
      ],
      "performanceMetrics": {
        "averageProcessingTime": "1.5s",
        "peakThroughput": "45 images/minute"
      }
    }
    
  • config/optimization-presets: Available optimization presets

    {
      "presets": {
        "web_standard": {
          "maxWidth": 1920,
          "format": "webp",
          "quality": 85,
          "enhancements": ["noise_reduction", "auto_levels_curves"]
        },
        "web_high_quality": {
          "maxWidth": 3840,
          "format": "webp",
          "quality": 90,
          "enhancements": [
            "noise_reduction",
            "auto_levels_curves",
            "texture_enhancement"
          ]
        },
        "thumbnail": {
          "maxWidth": 400,
          "format": "webp",
          "quality": 80,
          "enhancements": ["noise_reduction"]
        }
      }
    }
    

🚀 Getting Started

📥 Installation

  1. Clone the repository:
git clone https://github.com/splendasucks/webperfect-mcp-server.git
cd webperfect-mcp-server
  1. Install dependencies:
npm install
  1. Build the server:
npm run build

🤖 Usage with Claude

  1. Add the server to your Claude MCP settings (typically in claude_desktop_config.json):
{
  "mcpServers": {
    "webperfect": {
      "command": "node",
      "args": ["/path/to/webperfect-mcp-server/build/index.js"],
      "env": {}
    }
  }
}
  1. Restart Claude to load the MCP server.

  2. The server will be available through Claude's MCP tools and resources:

// 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 © 2024 WebPerfect Contributors

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • Bora Yalcin
  • Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.

  • https://jgadvisorycpa.com
  • This GPT assists in finding a top-rated business CPA - local or virtual. We account for their qualifications, experience, testimonials and reviews. Business operators provide a short description of your business, services wanted, and city or state.

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • OffchainLabs
  • 进行以太坊的实施

  • modelcontextprotocol
  • 模型上下文协议服务器

  • huahuayu
  • 统一的API网关,用于将多个Etherscan样区块链Explorer API与对AI助手的模型上下文协议(MCP)支持。

  • Mintplex-Labs
  • 带有内置抹布,AI代理,无代理构建器,MCP兼容性等的多合一桌面和Docker AI应用程序。

    Reviews

    5 (1)
    Avatar
    user_bYLmrQEv
    2025-04-15

    The MCP Server Tester by nandkumar1000 is an essential tool for anyone looking to ensure optimal performance of their servers. The user-friendly interface and comprehensive testing capabilities make it a standout in its category. It is a must-have for reliable server maintenance and performance checks. Highly recommended for professionals and hobbyists alike!