一个模型上下文协议服务器，用于通过OpenCV访问和控制摄像头

概述

视频静态捕捉MCP是模型上下文协议（MCP）的Python实现，使AI助手能够通过OpenCV访问和控制网络摄像头和视频源。该服务器展示了一套工具，允许语言模型捕捉图像、操作相机设置和管理视频连接。没有视频采集功能。

示例

以下是视频静态捕捉MCP服务器的一些实际运行示例：

橙色示例

磁石示例

安装

先决条件

• Python 3.10+
• OpenCV（opencv-python）
• MCP Python SDK
• UV（可选）

源头安装

运行MCP服务器：

与桌面版Claude集成

macOS/Linux

编辑你的Claude桌面配置：

添加以下MCP服务器配置：

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

Magnet Example

Installation

Prerequisites

• Python 3.10+
• OpenCV (opencv-python)
• MCP Python SDK
• UV (optional)

Installation from source

git clone https://github.com/13rac1/videocapture-mcp.git
cd videocapture-mcp
pip install -e .

Run the MCP server:

mcp dev videocapture_mcp.py

Integrating with Claude for Desktop

macOS/Linux

Edit your Claude Desktop configuration:

# Mac
nano ~/Library/Application\ Support/Claude/claude_desktop_config.json
# Linux
nano ~/.config/Claude/claude_desktop_config.json 

Add this MCP server configuration:

{
  "mcpServers": {
    "VideoCapture ": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with",
        "numpy",
        "--with",
        "opencv-python",
        "mcp",
        "run",
        "/ABSOLUTE_PATH/videocapture_mcp.py"
      ]
    }
  }
}

Ensure you replace /ABSOLUTE_PATH/videocapture-mcp with the project’s absolute path.

Windows

Edit your Claude Desktop configuration:

nano $env:AppData\Claude\claude_desktop_config.json

Add this MCP server configuration:

{
  "mcpServers": {
    "VideoCapture": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with",
        "numpy",
        "--with",
        "opencv-python",
        "mcp",
        "run",
        "C:\ABSOLUTE_PATH\videocapture-mcp\videocapture_mcp.py"
      ]
    }
  }
}

Ensure you replace C:\ABSOLUTE_PATH\videocapture-mcp with the project’s absolute path.

Using the Installation Command

Alternatively, you can use the mcp CLI to install the server:

mcp install videocapture_mcp.py

This will automatically configure Claude Desktop to use your videocapture MCP server.