MCP Camera Tool
Enables AI assistants to access and control network cameras to capture images and perform analysis including brightness detection, color distribution, and edge detection.
README
MCP Camera Tool
MCP Camera Tool 是一个基于MCP(Model Context Protocol)框架的摄像头工具服务，允许AI助手访问和控制网络摄像头，捕获图像并进行分析处理。
功能特性
- 摄像头连接管理（打开/关闭）
- 图像捕获功能
- 摄像头参数调整（亮度、对比度等）
- 基础图像处理
- 图像内容分析（亮度、颜色分布、边缘检测等）
- MCP协议集成
技术栈
- Python 3.14+
- MCP (Model Context Protocol) v1.23.3
- OpenCV for camera operations
- uv 包管理器
- FastMCP框架
安装步骤
- 克隆项目仓库
- 安装依赖：
uv sync
运行服务
使用uv运行MCP摄像头服务：
uv run mcp-camera
或者直接运行主程序：
uv run python main.py
权限说明
在macOS上，首次运行时可能需要授予终端应用程序摄像头访问权限：
- 打开系统偏好设置
- 进入"安全性与隐私"
- 在"隐私"标签页中选择"相机"
- 勾选您正在使用的终端应用程序
测试摄像头功能
可以运行单独的测试脚本来验证摄像头是否正常工作：
uv run python test_camera.py
与AI系统集成
要将此工具集成到支持MCP的AI系统（如Claude）中，请参考相应系统的文档配置MCP服务。
服务启动时会显示相关信息：
- 使用FastMCP框架实现
- 通过stdio协议通信
- 提供capture_and_analyze_image工具用于捕获并分析摄像头图像
项目结构
mcp_camera/
├── main.py # 程序入口点
├── camera_service.py # 摄像头服务核心实现
├── image_analyzer.py # 图像分析服务
├── test_camera.py # 摄像头测试脚本
├── test_image_analyzer.py # 图像分析器测试脚本
├── pyproject.toml # 项目配置文件
├── uv.lock # 依赖锁定文件
└── README.md # 项目说明文档
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