Model Context Protocol (MCP) server to capture from an OpenCV-compatible webcam
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# Video Still Capture MCP **A Model Context Protocol server for accessing and controlling webcams via OpenCV** ## Overview Video Still Capture MCP is a Python implementation of the Model Context Protocol (MCP) that provides AI assistants with the ability to access and control webcams and video sources through OpenCV. This server exposes a set of tools that allow language models to capture images, manipulate camera settings, and manage video connections. There is no video capture. ## Examples Here are some examples of the Video Still Capture MCP server in action: ### Orange Example Left: Claude's view of the image | Right: Actual webcam capture :-------------------------:|:-------------------------:  |  ### Magnet Example Left: Claude's view of the image | Right: Actual webcam capture :-------------------------:|:-------------------------:  |  ## Installation ### Prerequisites - Python 3.10+ - [OpenCV](https://opencv.org/) (`opencv-python`) - [MCP Python SDK](https://modelcontextprotocol.io/docs/) - [UV](https://astral.sh/uv/) (optional) ### Installation from source ```bash git clone https://github.com/13rac1/videocapture-mcp.git cd videocapture-mcp pip install -e . ``` Run the MCP server: ```bash mcp dev videocapture_mcp.py ``` ## Integrating with Claude for Desktop ### macOS/Linux Edit your Claude Desktop configuration: ```bash # Mac nano ~/Library/Application\ Support/Claude/claude_desktop_config.json # Linux nano ~/.config/Claude/claude_desktop_config.json ``` Add this MCP server configuration: ```json { "mcpServers": { "VideoCapture ": { "command": "uv", "args": [ "run", "--with", "mcp[cli]", "--with", "numpy", "--with", "opencv-python", "mcp", …
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