WebPerfect

Provides AI-driven image optimization with batch processing and web-ready outputs.

typescript

0

GitHub Stars

typescript

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

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

WebPerfect MCP Server optimizes images for the web using AI-driven processing to automatically enhance visuals while significantly reducing file sizes. It is designed for batch processing and web deployments, making it ideal for responsive web applications and content-heavy sites.

How to use

You integrate WebPerfect MCP Server with your MCP client to process images in bulk. Start the server locally and then issue the process_images tool through your MCP client to optimize a directory of input images and write the results to an output directory. You can run this on individual folders or entire collections to streamline your web image workflow.

How to install

# prerequisites
Node.js >= 16

# install and build
git clone https://github.com/splendasucks/webperfect-mcp-server.git
cd webperfect-mcp-server
npm install
npm run build

Additional notes

Configure your MCP client to point at the WebPerfect MCP Server so you can access the process_images tool and the statistics endpoint. The server exposes a batch processing tool and a summary of processing statistics that you can use to monitor performance and storage savings.

Configuration and usage example

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

Security and maintenance

Maintain access controls on the MCP client you use to reach the server. Regularly update to the latest build and monitor resource usage during batch processing to ensure stability in production environments.

Available tools

process_images

Process and optimize entire image collections using the advanced enhancement pipeline.