MCP Servers

IndustrialOps Industry 4.0 PLC Monitor MCP Server

Enables LLMs to connect to factory PLC sensors, read register data, analyze predictive maintenance, and monitor energy consumption in industrial environments.

README

🏭 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

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