Model Context Protocol server for Tigo Energy solar system monitoring and analytics
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# Tigo Energy MCP Server A Model Context Protocol (MCP) server that provides comprehensive access to Tigo Energy solar system data and analytics. This server enables AI assistants to interact with your Tigo solar monitoring system to retrieve production data, performance metrics, system health information, and maintenance insights. ## Features ### Core Functionality - **System Configuration**: Access user account and system information - **Real-time Production**: Get current solar production data and system summary - **Performance Analysis**: Comprehensive efficiency metrics and panel performance evaluation - **Historical Data**: Retrieve production data with configurable time ranges and granularity - **System Health**: Monitor alerts and overall system status - **Maintenance Insights**: AI-powered recommendations based on performance analysis ### Key Capabilities - Monitor multiple solar systems (automatically uses primary system if not specified) - Identify underperforming panels with customizable thresholds - Calculate system efficiency metrics over configurable time periods - Track and analyze system alerts and their types - Generate maintenance recommendations with priority scoring - Support for minute, hour, and day-level historical data analysis ## Installation ### Prerequisites - Python 3.8 or higher - A Tigo Energy account with API access - Required Python packages (install via pip): ```bash pip install python-dotenv mcp tigo-python fastmcp ``` ### Setup 1. **Clone or download the server files** ```bash # Save the server.py file to your desired location ``` 2. **Configure environment variables** ```bash # Copy the example environment file cp .env.example .env # Edit .env with your Tigo credentials TIGO_USERNAME=your_tigo_username TIGO_PASSWORD=your_tigo_password ``` 3. **Test the server** ```bash python server.py ``` ## Configuration ### Environment Variables Create a `.env` file in the same director…
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