Champierre Image MCP Server

🚀 Image-MCP Server

An MCP server that uses the GPT-4o-mini model to analyze image content. This server receives image URLs and conducts detailed analysis.

🚀 Quick Start

The Image-MCP Server is designed to receive image URLs and perform in - depth analysis of the image content using the GPT - 4o - mini model.

✨ Features

• Accepts an image URL as input and conducts a detailed analysis of the image content.
• Utilizes the high - precision GPT - 4o - mini model for image recognition and description.
• Checks the validity of the image URL.

📦 Installation

# Clone the repository
git clone https://github.com/champierre/image-mcp-server.git
cd image-mcp-server

# Install dependencies
npm install

# Compile TypeScript
npm run build

📚 Documentation

Configuration

Using this server requires an OpenAI API key. Set the following environment variable:

OPENAI_API_KEY=your_openai_api_key

MCP Server Configuration

When using tools like Cline, add the following content to the MCP server configuration file:

For VSCode Claude Extension

Add the following to cline_mcp_settings.json:

{
  "mcpServers": {
    "image-analysis": {
      "command": "node",
      "args": ["/path/to/image-mcp-server/dist/index.js"],
      "env": {
        "OPENAI_API_KEY": "your_openai_api_key"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

For Claude Desktop App

Add the following to claude_desktop_config.json:

{
  "mcpServers": {
    "image-analysis": {
      "command": "node",
      "args": ["/path/to/image-mcp-server/dist/index.js"],
      "env": {
        "OPENAI_API_KEY": "your_openai_api_key"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

💻 Usage Examples

Basic Usage

After configuring the MCP server, the following tool will be available:

• analyze_image: Receives an image URL and analyzes its content.

Please enter the image URL to be analyzed: https://example.com/image.jpg

🔧 Technical Details

# Run in development mode
npm run dev

📄 License

ISC