Moss Xiaozhi Mcp
What is Moss Xiaozhi Mcp
moss-xiaozhi-mcp is an AI MCP extension developed for XiaoZhi, which includes functionalities such as capturing and recognizing images from Onvif cameras and controlling PC software.
Use cases
Use cases include monitoring and controlling surveillance cameras, automating tasks on PCs, and integrating with other AI systems for enhanced functionalities.
How to use
To use moss-xiaozhi-mcp, create a .env file with the required MCP endpoint token, install the necessary dependencies, and run the command ‘python mcp_pipe.py yo_mcp.py’ to start the application.
Key features
Key features include Onvif camera image capture and recognition, PC software control, and compatibility with various Python libraries such as websockets and pydantic.
Where to use
moss-xiaozhi-mcp can be used in fields such as home automation, surveillance systems, and AI-based image processing applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Moss Xiaozhi Mcp
moss-xiaozhi-mcp is an AI MCP extension developed for XiaoZhi, which includes functionalities such as capturing and recognizing images from Onvif cameras and controlling PC software.
Use cases
Use cases include monitoring and controlling surveillance cameras, automating tasks on PCs, and integrating with other AI systems for enhanced functionalities.
How to use
To use moss-xiaozhi-mcp, create a .env file with the required MCP endpoint token, install the necessary dependencies, and run the command ‘python mcp_pipe.py yo_mcp.py’ to start the application.
Key features
Key features include Onvif camera image capture and recognition, PC software control, and compatibility with various Python libraries such as websockets and pydantic.
Where to use
moss-xiaozhi-mcp can be used in fields such as home automation, surveillance systems, and AI-based image processing applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
本工程基于虾哥 MCP实现
原项目地址：https://github.com/78/mcp-calculator
视频展示
https://www.bilibili.com/video/BV1TpTNzbE3u/?vd_source=3cdb33659e80ec67cacea8b3ce284283
环境要求(建议使用conda创建环境)
- Python 3.7+
- websockets>=11.0.3
- python-dotenv>=1.0.0
- mcp>=1.8.1
- pydantic>=2.11.4
配置
依赖安装完毕后别忘了 创建.env文件 内容如下：
MCP_ENDPOINT = wss://api.xiaozhi.me/mcp/?token=需要改成你的小智后台的MCP接入点
启动
python mcp_pipe.py yo_mcp.py
觉得有用的兄弟们 别忘了点个 star 支持下
注意！！！！由于控制PC设备等功能是基于MacOS实现 win的小伙伴需要自行修改
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
