foxess-mcp-server

holger1411/foxess-mcp-server

3.1

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The FoxESS MCP Server is a robust Model Context Protocol server designed to enable AI assistants to access, analyze, and optimize solar energy data from FoxESS inverters.

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FoxESS MCP Server

🚀⚡ Model Context Protocol Server for FoxESS Solar Inverters

A powerful MCP server that enables AI assistants like Claude to access, analyze, and optimize solar energy data from FoxESS inverters.

✨ Features

  • 🔍 Real-time Analysis: Access live solar generation and consumption data
  • 📊 Historical Insights: Analyze energy patterns over days, weeks, and months
  • 🩺 System Diagnosis: Automated health checks and performance monitoring
  • 🔮 Smart Forecasting: AI-powered energy predictions and optimization
  • 🔒 Secure Integration: Token-based authentication with data sanitization
  • ⚡ High Performance: Intelligent caching and rate limiting
  • 🛠️ Easy Setup: One-click installation as Claude Desktop extension

🎯 Core Tools

1. foxess_analysis

Comprehensive data collection and processing for real-time and historical energy data.

Example Usage:

Analyze my solar system's performance over the last week, focusing on PV generation and battery usage.

2. foxess_diagnosis

Automated system health assessment with performance optimization recommendations.

Example Usage:

Run a comprehensive health check on my FoxESS system and identify any issues.

3. foxess_forecast

Generate energy forecasts and optimization strategies based on historical data and weather patterns.

Example Usage:

Forecast my daily energy yield for the next week and suggest battery optimization settings.

🚀 Quick Start

Prerequisites

  • Python 3.10 or higher
  • Claude Desktop application
  • FoxESS inverter with cloud connectivity
  • FoxESS Cloud account with API access

Installation

  1. Get your FoxESS API Token

    • Visit foxesscloud.com
    • Navigate to Personal Center → API Management
    • Generate your private API token
    • Copy your device serial number
  2. Install the MCP Server

    # Clone the repository
    git clone https://github.com/holger1411/foxess-mcp-server.git
    cd foxess-mcp-server
    
    # Create and activate virtual environment (recommended)
    python3 -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    
    # Upgrade pip to latest version
    pip install --upgrade pip
    
    # Install dependencies
    pip install -r requirements.txt
    
    # Install the package
    pip install -e .
    
  3. Configure Claude Desktop

    Add to your claude_desktop_config.json:

    {
      "mcpServers": {
        "foxess-mcp-server": {
          "command": "/path/to/foxess-mcp-server/venv/bin/python",
          "args": ["-m", "foxess_mcp_server"],
          "env": {
            "FOXESS_API_KEY": "your-api-token-here",
            "FOXESS_DEVICE_SN": "your-device-serial-here"
          }
        }
      }
    }
    

    Note: Replace /path/to/foxess-mcp-server/ with your actual installation path. You can find it with:

    pwd  # Run this inside your foxess-mcp-server directory
    
  4. Verify Installation

    Restart Claude Desktop and try:

    Can you check my solar system's current status?
    

🔧 Troubleshooting

Installation Issues

Problem: ERROR: Could not find a version that satisfies the requirement mcp>=1.0.0

Solution: This error occurs when using Python < 3.10. The MCP library requires Python 3.10 or higher.

  1. Check your Python version:

    python3 --version
    
  2. If you have Python < 3.10, install Python 3.10+ using:

    # macOS with Homebrew
    brew install python@3.10
    
    # Or update to latest Python
    brew install python@3.12
    
  3. Create virtual environment with correct Python version:

    python3.10 -m venv venv  # or python3.12
    source venv/bin/activate
    pip install --upgrade pip
    pip install -r requirements.txt
    pip install -e .
    

Problem: Defaulting to user installation because normal site-packages is not writeable

Solution: Use a virtual environment to avoid permission issues:

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

📊 Supported Data Points

Energy Flow

  • Solar Generation: PV power output, string-level data
  • Energy Consumption: House loads, grid consumption
  • Battery Operations: Charging/discharging power and energy
  • Grid Interaction: Feed-in power, grid consumption

System Status

  • Battery Health: State of charge, voltage, current, temperature
  • Grid Parameters: Voltage, frequency, current
  • System Temperatures: Inverter and ambient temperature
  • Status Codes: Operational status, fault codes, warnings

Historical Data

  • Energy Totals: Daily/monthly generation and consumption
  • Performance Metrics: Efficiency calculations and trends
  • Operational History: System events and maintenance needs

⚙️ Configuration

Environment Variables

VariableRequiredDescription
FOXESS_API_KEYYesYour FoxESS private API token
FOXESS_DEVICE_SNYesYour device serial number
FOXESS_LOG_LEVELNoLogging level (DEBUG, INFO, WARNING, ERROR)
FOXESS_CACHE_ENABLEDNoEnable caching (true/false)

Advanced Configuration

Create a custom configuration file:

{
  "cache_ttl_minutes": 5,
  "max_concurrent_requests": 3,
  "request_timeout_seconds": 30,
  "rate_limit_enabled": true
}

🔒 Security & Privacy

  • Token Security: API tokens are never logged or exposed
  • Data Sanitization: All logs are automatically sanitized
  • Rate Limiting: Respects FoxESS API limits automatically
  • Input Validation: All user inputs are validated and sanitized
  • Secure Storage: Uses OS-native credential storage via Claude Desktop

📈 Performance

  • Smart Caching: Multi-level caching for optimal performance
  • Rate Limiting: Automatic compliance with FoxESS API limits
  • Connection Pooling: Efficient HTTP connection management
  • Memory Optimization: Configurable memory limits and cleanup

🧪 Development

Setting up Development Environment

# Clone and enter directory
git clone https://github.com/holger1411/foxess-mcp-server.git
cd foxess-mcp-server

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -r requirements-dev.txt
pip install -e .

# Run tests
pytest

# Run linting
black src/
isort src/
mypy src/

Project Structure

foxess-mcp-server/
├── src/foxess_mcp_server/     # Main package
│   ├── server.py              # MCP server entry point
│   ├── foxess/                # FoxESS API integration
│   ├── tools/                 # MCP tools implementation
│   ├── cache/                 # Caching system
│   └── utils/                 # Utilities and helpers
├── config/                    # Configuration files
├── tests/                     # Test suite
├── docs/                      # Documentation
└── manifest.json              # MCP extension manifest

🤝 Contributing

We welcome contributions! Please see our for details.

Ways to Contribute

  • 🐛 Bug Reports: Report issues and bugs
  • 💡 Feature Requests: Suggest new features
  • 📝 Documentation: Improve docs and examples
  • 🌍 Translations: Help with internationalization
  • 🧪 Testing: Add tests and improve coverage
  • 💻 Code: Submit pull requests

📚 Documentation

  • - Detailed setup instructions
  • - Complete API documentation
  • - Usage examples and patterns
  • - Technical architecture overview
  • - Security implementation details
  • - Testing strategy and framework

🔗 Links

📄 License

This project is licensed under the MIT License - see the file for details.

🌟 Acknowledgments

  • FoxESS for providing the cloud API
  • Anthropic for the Model Context Protocol
  • Community Contributors for their valuable input and contributions

🆘 Support

Community Support

  • GitHub Discussions: Ask questions and share experiences
  • GitHub Issues: Report bugs and request features
  • Documentation: Comprehensive guides and examples

Need Help?

  1. Check the for common questions
  2. Search existing issues
  3. Join our community discussions
  4. Create a new issue if needed

Made with ❤️ by the FoxESS MCP Community

Empowering AI assistants with solar energy intelligence