foxess-mcp-server
A powerful MCP server that enables AI assistants like Claude to access, analyze, and optimize solar energy data from FoxESS inverters.
README
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
-
Get your FoxESS API Token
⚠️ Important: API key generation is only available in the legacy v1 portal!
- Visit the legacy portal: foxesscloud.com/login
- Navigate to Personal Center → API Management
- Generate your private API token
- Copy your device serial number
Note: The new v2 portal (foxesscloud.com/v2/login) does not support API key generation. You must use the legacy v1 portal to create your API token.
For API documentation, see the Official FoxESS Open API Documentation.
-
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 . -
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 -
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.
-
Check your Python version:
python3 --version -
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 -
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
| Variable | Required | Description |
|---|---|---|
FOXESS_API_KEY |
Yes | Your FoxESS private API token |
FOXESS_DEVICE_SN |
Yes | Your device serial number |
FOXESS_LOG_LEVEL |
No | Logging level (DEBUG, INFO, WARNING, ERROR) |
FOXESS_CACHE_ENABLED |
No | Enable 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
└── manifest.json # MCP extension manifest
🤝 Contributing
Contributions are welcome! Here are some ways you can contribute:
- 🐛 Bug Reports: Report issues and bugs via GitHub Issues
- 💡 Feature Requests: Suggest new features
- 📝 Documentation: Improve docs and examples
- 🧪 Testing: Add tests and improve coverage
- 💻 Code: Submit pull requests
🔗 Links
- 🌐 Website: holgerkoenemann.com
- 📖 Documentation: github.com/holger1411/foxess-mcp-server/wiki
- 📚 FoxESS API Docs: FoxESS Open API Documentation
- 🐛 Bug Reports: github.com/holger1411/foxess-mcp-server/issues
- 📦 Releases: github.com/holger1411/foxess-mcp-server/releases
📄 License
This project is licensed under the MIT License - see the LICENSE 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
Need help? Here's how to get support:
- Search existing issues
- Check the Wiki for documentation
- Create a new issue if needed
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。