Moondream

🌙 MoonDream MCP Server

A powerful Model Context Protocol (MCP) server that brings advanced image analysis capabilities to your applications using the MoonDream vision model. This server seamlessly integrates with Claude and Cline, serving as a bridge between AI assistants and complex computer vision tasks.

This is not an official MoonDream package. All credits go to moondream.ai for developing the best open - source vision model that can run on consumer - grade hardware.

✨ Features

• 🖼️ Image Description Generation: Generate natural - language descriptions for images.
• 🔍 Object Detection: Identify and locate specific objects in images.
• 💭 Visual Question Answering: Ask questions about image content and get intelligent answers.
• 🚀 High Performance: Achieve efficient inference using a quantized 8 - bit model.
• 🔄 Automatic Setup: Handle model downloads and environment configuration.
• 🛠️ MCP Integration: Enable seamless use of tools through a standardized protocol.

🎯 Use Cases

• Content Analysis: Automatically generate descriptions of image content.
• Accessibility: Provide alternative text for visually impaired users.
• Data Extraction: Extract information from images through targeted questions.
• Object Verification: Confirm the presence of specific objects in images.
• Scene Understanding: Analyze complex scenes and their components.

🚀 Quick Start

Prerequisites

• Node.js v18 or higher.
• Python 3.8+.
• UV package manager (automatically installed if not present).

Installation

1. Clone and Setup

git clone <repository-url>
npm install

2. Start the Server

node index.js

📦 Configuration

Create a config.json file in the project root directory and add the following content:

{
  "port": 3475,
  "modelPath": "./models",
  "logLevel": "info"
}

🔧 Technical Details

• Server Port: Defaults to 3475.
• Supported Models: Compatible with the moonsream model format.
• Logging: Implemented using Winston, with default output to the console.

⚠️ Important Note

1. In a production environment, ensure that the server runs on HTTPS.
2. Regularly update the MoonDream model for optimal performance.
3. Ensure that Python dependencies are correctly installed.

🤝 Contribution Guidelines

Contributions are welcome! Areas where you can contribute include:

• Adding support for new vision models.
• Improving server performance.
• Implementing new analysis features.
• Enhancing documentation.

Please submit pull requests to the main branch and ensure that your code adheres to the project's specifications.

📄 License

[Add license information here]

🙏 Acknowledgments

Thanks to the following contributors and maintainers:

• MoonDream Model Team
• The Model Context Protocol (MCP) community
• All contributors

Made with ❤️ by Nighttrek