Image Analysis Server is an MCP server that analyzes visual content using Google's Gemini 2.0 Flash model to generate detailed descriptions and insights from images and videos. Key features of Image Analysis Server: - Analyze images and videos via URLs or local file paths with high-precision AI recognition - Direct YouTube video URL analysis for content comprehension without downloading - Multi-modal analysis comparing relationships between multiple images or videos in a single request - Customizable prompts to guide analysis focus and extract specific information - Local file support with Base64 encoding and built-in security path validation - Handles various image and video MIME types for broad format compatibility

image-mcp-server-gemini

[](https://smithery.ai/server/@Rentapad/image-mcp-server-gemini) An MCP server that receives image/video URLs or local file paths and analyzes their content using the Gemini 2.0 Flash model.(forked from github.com/champierre/image-mcp-server)

Features

Installation

Installing via Smithery

To install Image Analysis Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Rentapad/image-mcp-server --client claude

Manual Installation

# Clone the repository
git clone https://github.com/Rentapad/image-mcp-server-gemini.git 
cd image-mcp-server-gemini
Install dependencies
npm install
Compile TypeScript
npm run build

Configuration

To use this server, you need a Gemini API key. Set the following environment variable:

GEMINI_API_KEY=your_gemini_api_key

MCP Server Configuration

To use with tools like Cline, add the following settings to your MCP server configuration file:

For Cline

Add the following to cline_mcp_settings.json:

{
  "mcpServers": {
    "image-video-analysis": { // Consider renaming for clarity
      "command": "node",
      "args": ["/path/to/image-mcp-server/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your_gemini_api_key"
      }
    }
  }
}

For Claude Desktop App

Add the following to claude_desktop_config.json:

{
  "mcpServers": {
    "image-video-analysis": { // Consider renaming for clarity
      "command": "node",
      "args": ["/path/to/image-mcp-server/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your_gemini_api_key"
      }
    }
  }
}

Usage

Once the MCP server is configured, the following tools become available:

Usage Examples

Analyzing a single image from URL:

Please analyze this image: https://example.com/image.jpg

Analyzing multiple images from local paths and comparing them:

Analyze these images: /path/to/your/image1.png, /path/to/your/image2.jpeg. Which one contains a cat?

Analyzing a video from URL with a specific prompt:

Summarize the content of this video: https://example.com/video.mp4

Analyzing a YouTube video:

What is the main topic of this YouTube video? https://www.youtube.com/watch?v=dQw4w9WgXcQ

Video Notes