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winston-ai-mcp

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Model Context Protocol (MCP) Server for Winston AI - the most accurate AI Detector. Detect AI-generated content, plagiarism, and compare texts with ease.

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# Winston AI MCP Server ⚡️ [![npm version](https://badge.fury.io/js/winston-ai-mcp.svg)](https://badge.fury.io/js/winston-ai-mcp) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Node.js CI](https://github.com/gowinston-ai/winston-ai-mcp-server/actions/workflows/CI.yml/badge.svg)](https://github.com/gowinston-ai/winston-ai-mcp-server/actions/workflows/CI.yml) [![TypeScript](https://img.shields.io/badge/TypeScript-007ACC?style=flat&logo=typescript&logoColor=white)](https://www.typescriptlang.org/) > **Model Context Protocol (MCP) Server for Winston AI** - the most accurate AI Detector. Detect AI-generated content, plagiarism, and compare texts with ease. ## ✨ Features ### 🔍 AI Text Detection - **Human vs AI Classification**: Determine if text was written by a human or AI - **Confidence Scoring**: Get percentage-based confidence scores - **Sentence-level Analysis**: Identify the most AI-like sentences in your text - **Multi-language Support**: Works with text in various languages - **Credit cost**: 1 credit per word ### 🖼️ AI Image Detection - **Image Analysis**: Detect AI-generated images using advanced ML models - **Metadata Verification**: Analyze image metadata and EXIF data - **Watermark Detection**: Identify AI watermarks and their issuers - **Multiple Formats**: Supports JPG, JPEG, PNG, and WEBP formats - **Credit cost**: 300 credits per image ### 📝 Plagiarism Detection - **Internet-wide Scanning**: Check against billions of web pages - **Source Identification**: Find and list original sources - **Detailed Reports**: Get comprehensive plagiarism analysis - **Academic & Professional Use**: Perfect for content verification - **Credit cost**: 2 credits per word ### 🔄 Text Comparison - **Similarity Analysis**: Compare two texts for similarities - **Word-level Matching**: Detailed breakdown of matching content - **Percentage Scoring**: Get precise similarity percentages - **Bidirectional Analysis**: Compare both directions - **Credit cost**: 1/2 credit per total words found in both texts ## 🚀 Quick Start ### Prerequisites - Node.js 18+ - Winston AI API Key ([Get one here](https://dev.gowinston.ai)) ## 🛠️ Development ### Running with npx 🔋 ``` env WINSTONAI_API_KEY=your-api-key npx -y winston-ai-mcp ``` ### Building from Source ```bash # Clone the repository git clone https://github.com/gowinston-ai/winston-ai-mcp-server.git cd winston-ai-mcp-server # Install dependencies npm install # Build the project and start the server npm run mcp-start ``` ### Environment Setup Create a `.env` file in your project root: ```env WINSTONAI_API_KEY=your_actual_api_key_here ``` ## 📦 Docker Support Build and run with Docker: ```bash # Build the image docker build -t winston-ai-mcp . # Run the container docker run -e WINSTONAI_API_KEY=your_api_key winston-ai-mcp ``` ## 📋 Available Scripts - `npm run build` - Compile TypeScript to JavaScript - `npm start` - Start the MCP server - `npm run mcp-start` - Compile TypeScript to JavaScript and Start the MCP server - `npm run lint` - Run ESLint for code quality - `npm run format` - Format code with Prettier ## 🔧 Configuration ### For Claude Desktop Add to your `claude_desktop_config.json`: ```json { "mcpServers": { "winston-ai-mcp": { "command": "npx", "args": ["-y", "winston-ai-mcp"], "env": { "WINSTONAI_API_KEY": "your-api-key" } } } } ``` ### For Cursor IDE Add to your Cursor configuration: ```json { "mcpServers": { "winston-ai-mcp": { "command": "npx", "args": ["-y", "winston-ai-mcp"], "env": { "WINSTONAI_API_KEY": "your-api-key" } } } } ``` ## 📋 API Reference ### AI Text Detection ```typescript { "text": "Your text to analyze (600+ characters recommended)", "file": "(optional) A file to scan. If you supply a file, the API will scan the content of the file. The file must be in plain .pdf, .doc or .docx format.", "website": "(optional) A website URL to scan. If you supply a website, the API will fetch the content of the website and scan it. The website must be publicly accessible." } ``` ### AI Image Detection ```typescript { "url": "https://example.com/image.jpg" } ``` ### Plagiarism Detection ```typescript { "text": "Text to check for plagiarism", "language": "en", // optional, default: "en" "country": "us" // optional, default: "us" } ``` ### Text Comparison ```typescript { "first_text": "First text to compare", "second_text": "Second text to compare" } ``` ## 🤝 Contributing We welcome contributions! 1. Fork the repository 2. Create a feature branch (`git checkout -b feature/amazing-feature`) 3. Commit your changes (`git commit -m 'Add amazing feature'`) 4. Push to the branch (`git push origin feature/amazing-feature`) 5. Open a Pull Request ## 📄 License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## 🔗 Links - **Winston AI Website**: [https://gowinston.ai](https://gowinston.ai) - **API Documentation**: [https://dev.gowinston.ai](https://dev.gowinston.ai) - **MCP Protocol**: [https://modelcontextprotocol.io](https://modelcontextprotocol.io) - **GitHub Repository**: [https://github.com/gowinston-ai/winston-ai-mcp-server](https://github.com/gowinston-ai/winston-ai-mcp-server) ## ⭐ Support If you find this project helpful, please give it a star on GitHub! --- **Made with ❤️ by the Winston AI Team**