MCP server for image analysis using Vision Language Models
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# Vision MCP MCP server for image analysis using Vision Language Models. ## Quickstart 1. Install `uv` (Python package manager): ```sh curl -LsSf https://astral.sh/uv/install.sh | sh ``` 2. Configure your MCP client (e.g., Claude Desktop): Go to `Claude > Settings > Developer > Edit Config > claude_desktop_config.json`: ```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 analyze - `image_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](https://github.com/MiniMax-AI/MiniMax-Coding-Plan-MCP) by MiniMax AI.
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