MCP Image Recognition Server
About
An MCP server that provides image recognition 👀 capabilities using Anthropic and OpenAI vision APIs
Details
- License
- MIT
Explore
- Image description using Anthropic Claude Vision or OpenAI GPT-4 Vision
- Support for multiple image formats (JPEG, PNG, GIF, WebP)
- Configurable primary and fallback providers
- Base64 and file-based image input support
- Optional text extraction using Tesseract OCR
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Image Recognition ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Requirements
- Python 3.8 or higher
- Tesseract OCR (optional) - Required for text extraction feature
- Windows: Download and install from UB-Mannheim/tesseract
- Linux: sudo apt-get install tesseract-ocr
- macOS: brew install tesseract
1. describe_image
- Input: Base64-encoded image data and MIME type
- Output: Detailed description of the image
2. describe_image_from_file
- Input: Path to an image file
- Output: Detailed description of the image
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp image recognition server": {
"mcp-image-recognition": {
"command": "python",
"args": [
"-m",
"image_recognition_server.server"
]
}
}
}
}McpServers
{
"mcp-image-recognition": {
"command": "python",
"args": [
"-m",
"image_recognition_server.server"
]
}
}An MCP server that provides image recognition capabilities using Anthropic and OpenAI vision APIs. Version 0.1.2.
Features
- Image description using Anthropic Claude Vision or OpenAI GPT-4 Vision
- Support for multiple image formats (JPEG, PNG, GIF, WebP)
- Configurable primary and fallback providers
- Base64 and file-based image input support
- Optional text extraction using Tesseract OCR
Requirements
- Python 3.8 or higher
- Tesseract OCR (optional) - Required for text extraction feature
- Windows: Download and install from UB-Mannheim/tesseract
- Linux: sudo apt-get install tesseract-ocr
- macOS: brew install tesseract
Installation
1. Clone the repository:
git clone https://github.com/mario-andreschak/mcp-image-recognition.git
cd mcp-image-recognition
2. Create and configure your environment file:
```bash
cp .env.example .env
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