moss-xiaozhi-mcp

## This project is based on Xia Ge MCP implementation Original project address: https://github.com/78/mcp-calculator ## Video Showcase https://www.bilibili.com/video/BV1TpTNzbE3u/?vd_source=3cdb33659e80ec67cacea8b3ce284283 ## Environment Requirements - Python 3.7+ - websockets>=11.0.3 - python-dotenv>=1.0.0 - mcp>=1.8.1 - pydantic>=2.11.4 ## Environment Setup ### Method 1: venv Environment (Recommended) #### macOS/Linux Users ```bash # Automatically set up the environment ./setup_venv.sh # Activate the environment ./activate_venv.sh # Or activate manually: source venv/bin/activate # Run the project python mcp_pipe.py yo_mcp.py ``` #### Windows Users ```cmd # Automatically set up the environment setup_venv.bat # Activate the environment activate_venv.bat # Or activate manually: venv\Scripts\activate.bat # Run the project python mcp_pipe.py yo_mcp.py ``` ### Method 2: conda Environment (Traditional Method) ```bash # Create conda environment conda create -n xiaozhi-mcp python=3.10 # Activate the environment conda activate xiaozhi-mcp # Install dependencies pip install -r requirements.txt ``` > **💡 It is recommended to use the venv environment**: lighter, more standard, and faster to start. > > - For detailed instructions, please refer to [VENV_SETUP.md](VENV_SETUP.md) > - Windows user guide: [WINDOWS_GUIDE.md](WINDOWS_GUIDE.md) ## Configuration After installing the dependencies, don't forget to create a .env file with the following content: ```bash # Xiaozhi MCP MCP access point address MCP_ENDPOINT = wss://api.xiaozhi.me/mcp/?token=xxx # Visual recognition related configuration # Whether to enable the IP camera MCP. If there is no camera, set this value to false; otherwise, set it to true. ENABLED_IP_CAMERA = false # ONVIF camera IP address ONVIF_CAMERA_IP = 192.168.10.143 # ONVIF camera port, the port for Tiandy cameras is 80; modify according to your camera's port ONVIF_CAMERA_PORT = 80 # ONVIF camera username ONVIF_CAMERA_USERNAME = admin # ONVIF camera password ONVIF_CAMERA_PASSWORD = 123456 # Whether to enable ONVIF PTZ control (can be enabled for cameras with PTZ; if not enabled, control registration will not be activated) ONVIF_CAMERA_PTZ_ENABLED = false # Whether to enable ONVIF camera recognition and save logs ONVIF_CAMERA_LOG = false # Whether to enable ONVIF screenshot saving to local ONVIF_CAMERA_CAPTURE = false # Home Assistant related configuration # Home Assistant service address HA_ADDRESS = http://192.168.1.197:8123 # Home Assistant access token HA_AUTH_TOKEN = eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.xxxxxx ``` ## Start ```bash python mcp_pipe.py yo_mcp.py ``` # If you find this useful, don't forget to give it a star for support! **Note!!!! Due to the control of PC devices and other functions being implemented based on macOS, Windows users will need to modify it themselves.**