Uses models downloaded from Hugging Face, specifically the Moondream quantized model for image analysis
🌙 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, providing a bridge between AI assistants and sophisticated computer vision tasks.
This IS NOT an offical Moondream package. All credit to moondream.ai for making the best open source vision model that you can run on consumer hardware.
✨ Features
🖼️ Image Captioning: Generate natural language descriptions of images
🔍 Object Detection: Identify and locate specific objects within images
💭 Visual Question Answering: Ask questions about image content and receive intelligent responses
🚀 High Performance: Uses quantized 8-bit models for efficient inference
🔄 Automatic Setup: Handles model downloading and environment setup
🛠️ MCP Integration: Standardized protocol for seamless tool usage
🎯 Use Cases
Content Analysis: Automatically generate descriptions for image content
Accessibility: Create alt text for visually impaired users
Data Extraction: Extract specific 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
Clone and Setup
Build the Server
The server handles the rest automatically:
Creates Python virtual environment
Installs UV if not present
Downloads and sets up the Moondream model
Manages the model server process
Integration with Claude/Cline
Add to your MCP settings file (claude_desktop_config.json
or cline_mcp_settings.json
):
🛠️ Available Tools
analyze_image
Powerful image analysis tool with multiple modes:
Prompt Types:
"generate caption"
- Creates natural language description"detect: [object]"
- Finds specific objects (e.g., "detect: car")"[question]"
- Answers questions about the image
Examples:
🔧 Technical Details
Architecture
The server operates as a dual-component system:
MCP Interface Layer
Handles protocol communication
Manages tool interfaces
Processes requests/responses
Moondream Model Server
Runs the vision model
Processes image analysis
Provides HTTP API endpoints
Model Information
Uses the Moondream quantized model:
Default:
moondream-2b-int8.mf.gz
Efficient 8-bit quantization
Automatic download from Hugging Face
~500MB model size
Performance
Fast startup with automatic caching
Efficient memory usage through quantization
Responsive API endpoints
Concurrent request handling
🔍 Debugging
Common issues and solutions:
Model Download Issues
# Manual model download wget https://huggingface.co/vikhyatk/moondream2/resolve/main/moondream-0_5b-int4.mf.gzServer Port Conflicts
Default port: 3475
Check for process using:
lsof -i :3475
Python Environment
UV manages dependencies
Check logs in temp directory
Virtual env in system temp folder
🤝 Contributing
Contributions welcome! Areas of interest:
Additional model support
Performance optimizations
New analysis capabilities
Documentation improvements
📄 License
[Add your license information here]
🙏 Acknowledgments
Model Context Protocol (MCP) Community
Contributors and maintainers
This server cannot be installed
A powerful server that integrates the Moondream vision model to enable advanced image analysis, including captioning, object detection, and visual question answering, through the Model Context Protocol, compatible with AI assistants like Claude and Cline.
- ✨ Features
- 🎯 Use Cases
- 🚀 Quick Start
- 🛠️ Available Tools
- 🔧 Technical Details
- 🔍 Debugging
- 🤝 Contributing
- 📄 License
- 🙏 Acknowledgments
Related Resources
Related MCP Servers
- AsecurityAlicenseAqualityA Model Context Protocol server that provides AI vision capabilities for analyzing UI screenshots, offering tools for screen analysis, file operations, and UI/UX report generation.
- -securityAlicense-qualityA server that provides AI-powered image generation, modification, and processing capabilities through the Model Context Protocol, leveraging Google Gemini models and other image services.Last updated -13MIT License
- -securityFlicense-qualityA Model Context Protocol server that enables AI assistants to access and control webcams through OpenCV, allowing for image capture and camera setting manipulation.Last updated -11
- -securityFlicense-qualityProvides AI-powered visual analysis capabilities for Claude and other MCP-compatible AI assistants, allowing them to capture and analyze screenshots, perform file operations, and generate UI/UX reports.