Vision MCP
MCP server for image analysis using Vision Language Models.
Quickstart
-
Install
uv(Python package manager):curl -LsSf https://astral.sh/uv/install.sh | sh -
Configure 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"
}
}
}
}
Environment Variables
| Variable | Required | Description |
|---|---|---|
OPENAI_API_KEY | Yes | API key for authentication |
OPENAI_API_BASE | Yes | API base URL |
OPENAI_MODEL | Yes | Model name for vision tasks |
Available Tools
| Tool | Description |
|---|---|
analyze_image | Analyze images using Vision Language Model |
analyze_image
Analyze and understand image content from files or URLs.
Parameters:
prompt(str): The text prompt describing what to analyzeimage_source(str): Image URL or local file path
Supported formats: JPEG, PNG, WebP
License
MIT
Acknowledgments
This project is inspired by MiniMax-Coding-Plan-MCP by MiniMax AI.