What is the Moondream MCP Server?

The Moondream MCP Server is a server based on the Moondream vision model that can understand image content and answer related questions. It can generate image descriptions, detect specific objects, and answer various questions about images.

How to use the Moondream MCP Server?

After setting up the server through simple installation steps, you can obtain intelligent analysis results by sending images and questions. The server supports multiple analysis modes, including automatic description, object detection, and question - answering functions.

Applicable scenarios

Suitable for various applications that require automatic analysis of image content, such as content management, accessibility features, data extraction, etc. Particularly suitable for developers who need to integrate visual understanding capabilities into existing systems.

Main features

Image description generationAutomatically generate natural language descriptions for images to help understand image content

Object detectionIdentify and locate specific objects in the image

Visual question - answeringAnswer various questions about image content

High performanceUse an 8 - bit quantized model for efficient inference

Advantages and limitations

Advantages

Easy to integrate into existing systems

Supports multiple image analysis modes

Efficient memory usage and fast response

Automatically handles model download and setup

Limitations

Requires certain hardware resources support

May not analyze non - conventional images accurately enough

Does not support real - time video stream analysis

How to use

Installation preparation

Ensure that Node.js v18+ and Python 3.8+ are installed on the system

Clone the repository

Get the server code

Install dependencies

Install the required dependencies using pnpm

Build the server

Compile the server code

🚀 🌙 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, bridging the gap between AI assistants and complex computer vision tasks.

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

✨ Features

🖼️ Image Captioning: 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 tool usage with a standard protocol.

🎯 Use Cases

Content Analysis: Automatically generate descriptions of image content.
Accessibility: Create 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

Install Python and pip.
Install Node.js and npm (if required).
Ensure sufficient system permissions to run the service.

Installation Steps

Clone the repository:

git clone https://github.com/nighttrek/Moondream-MCP.git
cd Moondream-MCP

Install dependencies:

pip install -r requirements.txt
npm install (if required)

Start the server:

python server.py

📋 Configuration

Configure in the config.json file, for example, set the endpoint and logging level:

{
  "endpoint": "http://localhost:3475",
  "logging": {
    "level": "info"
  }
}

🛠️ Functional Modules

Core Features:
- Image captioning
- Object detection and recognition
- Visual question answering system
Extended Features:
- Data visualization panel
- Log monitoring tool
- Performance optimization suggestions