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matt-dreyer

EG4 MCP Server

by matt-dreyer

EG4 MCP Server

An MCP (Model Context Protocol) Server for the EG4 Solar Inverter Monitoring API, providing comprehensive solar system monitoring and analysis capabilities.

Features

  • 🔌 Real-time monitoring - Current production, consumption, and system status

  • 📊 Performance analysis - Efficiency metrics and grid independence calculations

  • 🔋 Battery health monitoring - SOH, SOC, and cycle count tracking

  • ⚠️ Smart alerts - Proactive issue detection and notifications

  • 🛠️ Maintenance insights - Automated recommendations and scheduling

  • 📈 Historical data - Energy production and consumption trends

  • 🏥 System health scoring - Component-level health assessment

Related MCP server: homelab-mcp

Installation

Quick start (dev mode)

# 1. create & activate venv
cd eg4_mcp_server
python -m venv .venv
.venv\Scripts\activate   # PowerShell: .venv\Scripts\Activate.ps1

# 2. install requirements
pip install -r requirements.txt

# 3. run the server
python server.py

### Prerequisites

- Python 3.10 or higher
- EG4 inverter with online monitoring account
- Access to EG4 monitoring portal credentials

### Install from PyPI
```bash
pip install eg4-mcp-server

Install from Source

  1. Clone the repository:

git clone https://github.com/yourusername/eg4-mcp-server.git
cd eg4-mcp-server
  1. Install dependencies:

pip install -e .

Configuration

  1. Copy the environment template:

cp .env.example .env
  1. Edit .env with your EG4 credentials:

EG4_USERNAME=your_eg4_username
EG4_PASSWORD=your_eg4_password
EG4_BASE_URL=https://monitor.eg4electronics.com
EG4_DISABLE_VERIFY_SSL=0

Usage

Running the MCP Server

Start the server directly:

python server.py

Or use the MCP CLI:

mcp run server.py

Available Tools

Tool

Description

Fetch_Configuration

Get complete system configuration and status

Get_System_Details

Detailed system information and inverter specs

Get_Current_Production

Real-time production and consumption data

Get_Performance_Analysis

Performance metrics and efficiency analysis

Get_Historical_Data

Historical energy data and trends

Get_System_Alerts

System health alerts and warnings

Get_System_Health

Comprehensive health scoring

Get_Maintenance_Insights

Maintenance recommendations and scheduling

Example Usage with Claude

  1. Check current system status:

    What's my solar system producing right now?
  2. Get performance analysis:

    How is my solar system performing this week?
  3. Check for alerts:

    Are there any issues with my solar system?
  4. Get maintenance recommendations:

    What maintenance does my solar system need?

Integration with AI Assistants

This MCP server is designed to work with AI assistants that support the Model Context Protocol, such as:

  • Claude Desktop - Add to your MCP configuration

  • Other MCP-compatible clients

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "eg4": {
      "command": "python",
      "args": ["-m", "eg4_mcp_server"],
      "env": {
        "EG4_USERNAME": "your_username",
        "EG4_PASSWORD": "your_password"
      }
    }
  }
}

API Reference

Tool Parameters

Most tools accept optional parameters:

  • system_id (int, optional): Specific system ID (defaults to first system)

  • days_back (int): Number of days for historical data (default varies by tool)

  • threshold_percent (float): Performance threshold for maintenance insights

Response Format

All tools return JSON responses with:

  • timestamp: ISO format timestamp

  • data: Tool-specific data structure

  • error: Error message if applicable

Example response:

{
  "timestamp": "2025-06-24T10:30:00",
  "system_status": "Normal",
  "current_production": {
    "solar_power": "2.5 kW",
    "battery_discharge": "0.0 W",
    "home_consumption": "1.8 kW"
  }
}

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

  1. Fork the repository

  2. Create a virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
  3. Install development dependencies:

    pip install -e ".[dev]"
  4. Make your changes and run tests:

    pytest

Troubleshooting

Common Issues

  1. Authentication Failed

    • Verify your EG4 credentials in .env

    • Check if your account has API access

  2. SSL Certificate Errors

    • Set EG4_DISABLE_VERIFY_SSL=1 in your .env file

    • This disables SSL verification (use with caution)

  3. No Inverters Found

    • Ensure your account has associated inverters

    • Check if inverters are online in the EG4 portal

  4. Connection Timeouts

    • Check your internet connection

    • Verify the EG4_BASE_URL is correct

Debug Mode

Enable verbose logging by setting the environment variable:

export EG4_DEBUG=1
python server.py

License

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

Acknowledgments

Changelog

See CHANGELOG.md for version history and changes.

Support


Note: This project is not officially affiliated with EG4 Electronics. It's a community-driven project for interfacing with EG4 monitoring systems.

A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

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