
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Developer Tools · Image & Video

13rac1/videocapture-mcp
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.
{
"mcpServers": {
"VideoCapture ": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"--with",
"numpy",
"--with",
"opencv-python",
"mcp",
"run",
"/ABSOLUTE_PATH/videocapture_mcp.py"
]
}
}
}There is no video capture.
A Model Context Protocol server for accessing and controlling webcams via OpenCV
Quick Image Capture: Capture a single image from a webcam without managing connections
Connection Management: Open, manage, and close camera connections
Video Properties: Read and adjust camera settings like brightness, contrast, and resolution
Image Processing: Basic image transformations like horizontal flipping
quick_capture
Quickly open a camera, capture a single frame, and close it.
open_camera
Open a connection to a camera device.
capture_frame
Capture a single frame from the specified video source.
get_video_properties
Get properties of the video source.
set_video_property
Set a property of the video source.
close_connection
Close a video connection and release resources.
list_active_connections
List all active video connections.
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

microsoft/playwright
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yamadashy/repomix
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bytedance/UI-TARS-desktop
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ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.

microsoft/playwright-mcp
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comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.