Provides image analysis capabilities using OpenAI's Vision Language Models, enabling analysis and understanding of image content from files or URLs through the analyze_image tool.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Vision MCP describe this image: https://example.com/photo.jpg"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server for image analysis using Vision Language Models.
Install uv (Python package manager):
curl -LsSf https://astral.sh/uv/install.sh | shConfigure your MCP client (e.g., Claude Desktop):
Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json:
{
"mcpServers": {
"Vision": {
"command": "uvx",
"args": ["vision-mcp"],
"env": {
"OPENAI_API_KEY": "your-api-key",
"OPENAI_API_BASE": "https://api.openai.com",
"OPENAI_MODEL": "gpt-4o"
}
}
}
}Related MCP server: Vision MCP Server
Variable | Required | Description |
| Yes | API key for authentication |
| Yes | API base URL |
| Yes | Model name for vision tasks |
Tool | Description |
| Analyze images using Vision Language Model |
Analyze and understand image content from files or URLs.
Parameters:
prompt (str): The text prompt describing what to analyze
image_source (str): Image URL or local file path
Supported formats: JPEG, PNG, WebP
MIT
This project is inspired by MiniMax-Coding-Plan-MCP by MiniMax AI.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Analyze images from multiple angles to extract detailed insights or quick summaries. Describe visu…
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Generate images, GIFs, and PDFs from HTML, URLs, or templates — from your AI agent.
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