🏭 IndustrialOps Industry 4.0 PLC Monitor MCP Server

A Model Context Protocol (MCP) server that connects LLMs to factory PLC sensors, machinery health metrics, and predictive maintenance diagnostics.

🧰 Available MCP Tools

This server exposes 3 tools over standard I/O (stdio) transport:

1. read_plc_registers

Fetches current register readings (RPM, PSI, Temperature, Vibration, Status) for a designated PLC.

• Parameters:

  • plc_id (string, required): PLC identifier (e.g., "PLC_ASSEMBLY_01", "PLC_PACKAGING_02").

2. get_predictive_maintenance_report

Analyzes machinery vibration telemetry and temperatures to estimate Remaining Useful Life (RUL) hours and schedule preventative inspections.

3. get_energy_consumption

Exposes active power draw (kW) profiles and efficiency ratings for factory equipment load planning.

📦 Installation & Quickstart

# 1. Setup environment
cd industrialops-mcp-server
python -m venv venv
.\venv\Scripts\activate

# 2. Install package
pip install -e .

Claude Desktop Config

{
  "mcpServers": {
    "industrialops": {
      "command": "D:/Projects/industrialops-mcp-server/venv/Scripts/python.exe",
      "args": [
        "-m",
        "industrialops_mcp.server"
      ]
    }
  }
}

🧪 Testing

python -m pytest -o pythonpath=src