iflow-mcp_pigmej-python-homey-mcp

# HomeyPro MCP Server A Model Context Protocol (MCP) server for interacting with HomeyPro home automation systems. This server provides paginated access to devices, zones, and flows with comprehensive management capabilities. ## Features - **Device Management**: List, search, and control devices with full capability support - **Zone Management**: Browse zones and their associated devices - **Flow Management**: List and trigger automation flows - **System Management**: Get and update system configuration (location, address, language, units) - **AI-Powered Prompts**: Context-aware guidance for device control, troubleshooting, and automation - **Resource Caching**: Efficient data access with intelligent caching and stale data fallback - **Pagination Support**: Efficient handling of large datasets with cursor-based pagination - **Real-time Data**: Get current device states, capabilities, and insights - **Error Handling**: Comprehensive error handling with detailed error messages ## Installation ### Local Development 1. Clone the repository and navigate to the project directory: ```bash cd python-homey-mcp ``` 2. Install dependencies using uv: ```bash uv sync ``` ### Docker Pull the pre-built Docker image (supports both AMD64 and ARM64 architectures): ```bash docker pull ghcr.io/pigmej/python-homey-mcp:latest ``` The Docker image is built for multiple architectures: - `linux/amd64` - For Intel/AMD processors - `linux/arm64` - For ARM processors (Apple Silicon, Raspberry Pi, etc.) Docker will automatically pull the correct architecture for your system. #### Building Multi-Architecture Images To build your own multi-architecture Docker images: ```bash # Setup Docker Buildx (one-time setup) ./setup-buildx.sh # Build for current platform only make docker-build # Build for both AMD64 and ARM64 make docker-build-multi # Build and push to registry make docker-push ``` No additional installation steps are required when using Docker. ## Configuration Before …