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Videocapture
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Videocapture

An MCP server based on OpenCV that provides webcam control and image capture functions
Image and video processingDeveloper tools#Camera Control#Image Capture#OpenCV#MCP Service.Python
2.5 points
10

What is the Video Static Capture MCP Server?

The Video Static Capture MCP Server is an MCP server implemented in Python that allows AI assistants to access and control camera devices through OpenCV. You can easily capture single-frame images, adjust camera settings, and manage video connections.

How to use the Video Static Capture MCP Server?

You can open the camera, capture images, set camera parameters, or close the connection through simple commands. There's no need to manually manage complex connection processes.

Applicable Scenarios

Suitable for application scenarios that require real-time image capture, such as online meetings, intelligent monitoring, and photo-taking tasks.

Main Features

Quick CaptureCapture an image directly and close the camera without manually managing the connection.
Open CameraEstablish a connection with the camera for subsequent operations.
Capture FrameCapture a frame of image from the specified connection.
Get Video PropertiesRead properties such as the camera's resolution and frame rate.
Set Video PropertiesDynamically adjust parameters such as the camera's brightness and contrast.
Close ConnectionRelease camera resources to ensure system stability.

Advantages and Limitations

Advantages
Easy to use, no complex configuration required
Supports multiple camera devices
Provides rich API interfaces
Automatically manages resources to reduce errors
Limitations
Only supports static image capture, does not support video streams
Requires installation of specific dependencies (such as OpenCV)
May be restricted by operating system permissions

How to Use

Install the Server
Clone the repository and run the installation script, or use the mcp command for quick installation.
Configure the AI Assistant
Add the MCP server address to the AI assistant's configuration file.
Start Using
Call the corresponding API through the AI assistant to complete image capture or parameter setting.

Usage Examples

Quickly Take a PhotoLet the AI assistant quickly capture a photo and return an image object.
Adjust Camera BrightnessOptimize image quality by adjusting camera brightness.

Frequently Asked Questions

How to solve the problem of the camera not being recognized?
Does it support multiple cameras?
How to uninstall the MCP server?

Related Resources

Official Documentation
Learn more details about the MCP protocol.
GitHub Repository
Get the latest version and contribute code.
OpenCV Tutorial
Learn how to install and use OpenCV.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "VideoCapture ": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with",
        "numpy",
        "--with",
        "opencv-python",
        "mcp",
        "run",
        "/ABSOLUTE_PATH/videocapture_mcp.py"
      ]
    }
  }
}

{
  "mcpServers": {
    "VideoCapture": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with",
        "numpy",
        "--with",
        "opencv-python",
        "mcp",
        "run",
        "C:\ABSOLUTE_PATH\videocapture-mcp\videocapture_mcp.py"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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