`typescript // Process a batch of images webperfect process_images { "inputDir": "/path/to/input", "outputDir": "/path/to/output" } // Access processing statistics webperfect stats/summary ``` ## 📋 Requirements - 📦 Node.js >= 16 - 🖼️ Sharp image processing library - 🔌 Model Context Protocol SDK ## 📄 License [MIT](LICENSE) © 2024 WebPerfect Contributors29:T53b,## what is WebPerfect MCP Server? WebPerfect MCP Server is an advanced image optimization tool that utilizes AI algorithms to enhance images for web use, significantly reducing file sizes while maintaining high visual quality. ## how to use WebPerfect MCP Server? To use the WebPerfect MCP Server, clone the repository, install the dependencies, and configure it within your Claude MCP settings. You can then process images in batches and access various statistics. ## key features of WebPerfect MCP Server? - Intelligent AI-powered image processing - Superior quality enhancement with noise reduction - Up to 80% file size reduction - Batch processing capabilities - Web optimization for modern applications ## use cases of WebPerfect MCP Server? 1. Optimizing images for websites to improve loading times. 2. Reducing storage costs by compressing image files. 3. Enhancing images for responsive design applications. ## FAQ from WebPerfect MCP Server? - Can WebPerfect handle all image formats? > Yes! WebPerfect supports various formats including JPEG, PNG, and WebP. - Is there a limit to the number of images I can process at once? > No, you can process entire directories in a single command. - What are the system requirements for WebPerfect? > You need Node.js version 16 or higher and the Sharp image processing library.2a:T11fe,[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/zxkane-mcp-server-amazon-bedrock-badge.png)](https://mseep.ai/app/zxkane-mcp-server-amazon-bedrock) # Amazon Bedrock MCP Server A Model Control Protocol (MCP) server that integrates with Amazon Bedrock's Nova Canvas model for AI image generation.

## Features - High-quality image generation from text descriptions using Amazon's Nova Canvas model - Advanced control through negative prompts to refine image composition - Flexible configuration options for image dimensions and quality - Deterministic image generation with seed control - Robust input validation and error handling ## Prerequisites 1. Active AWS account with Amazon Bedrock and Nova Canvas model access 2. Properly configured AWS credentials with required permissions 3. Node.js version 18 or later ## Installation ### AWS Credentials Configuration The server requires AWS credentials with appropriate Amazon Bedrock permissions. Configure these using one of the following methods: 1. Environment variables: ```bash export AWS_ACCESS_KEY_ID=your_access_key export AWS_SECRET_ACCESS_KEY=your_secret_key export AWS_REGION=us-east-1 # or your preferred region ``` 2. AWS credentials file (`~/.aws/credentials`): ```ini [the_profile_name] aws_access_key_id = your_access_key aws_secret_access_key = your_secret_key ``` Environment variable for active profile: ```bash export AWS_PROFILE=the_profile_name ``` 3. IAM role (when deployed on AWS infrastructure) ### Claude Desktop Integration To integrate with Claude Desktop, add the following configuration to your settings file: MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json` Windows: `%APPDATA%/Claude/claude_desktop_config.json` ```json { "mcpServers": { "amazon-bedrock": { "command": "npx", "args": [ "-y", "@zxkane/mcp-server-amazon-bedrock" ], "env": { "AWS_PROFILE": "your_p

Image Toolkit MCP Server

MCP Media Processing Server

📷✨ WebPerfect MCP Server

Amazon Bedrock MCP Server