Bridge AI Agents to Industrial Systems with OPC UA

Connect your AI workflows directly to industrial equipment through the industry-standard OPC UA protocol. This MCP server transforms complex industrial data into natural language interactions, giving you conversational control over manufacturing systems, sensors, and automation infrastructure.

Skip the Integration Headaches

Industrial systems speak OPC UA. Your AI agents speak natural language. This server bridges that gap without custom middleware or complex API layers.

Instead of building yet another integration layer between your AI tools and industrial systems, plug this into your MCP client and start asking questions like:

• "What's the current temperature in reactor 3?"
• "Set the conveyor speed to 1.2 m/s"
• "Show me all alarm conditions in the packaging line"

Real-World Applications

Predictive Maintenance: Have Claude analyze sensor data trends and predict equipment failures before they happen. The server reads multiple nodes simultaneously, so you can correlate vibration, temperature, and pressure data in real-time.

Process Optimization: Connect AI agents to process control systems to automatically adjust parameters based on quality metrics or efficiency targets. Write control values back to PLCs through natural language commands.

Incident Response: During equipment failures, AI agents can quickly browse the entire node hierarchy, read diagnostic data, and provide troubleshooting guidance based on real-time system state.

Compliance Reporting: Automatically generate reports by having AI agents read batch data, quality parameters, and process conditions from your manufacturing execution systems.

Why This Matters

OPC UA isn't just another protocol - it's the backbone of Industry 4.0. Every major industrial automation vendor supports it. This server means your AI agents can now interact with:

• Siemens PLCs and SCADA systems
• Rockwell Automation controllers
• Schneider Electric HMIs
• ABB drives and robots
• Any OPC UA-compliant industrial device

The server handles the protocol complexity, security certificates, and data type conversions. Your AI agents just see simple read/write operations.

Quick Integration

Add this to your Claude Desktop or other MCP client:

{
  "mcpServers": {
    "opcua-mcp": {
      "command": "python",
      "args": ["path/to/opcua_mcp/main.py"],
      "env": {
        "OPCUA_SERVER_URL": "opc.tcp://your-plc-ip:4840"
      }
    }
  }
}

Point it at your OPC UA server and start the conversation. The server discovers your node structure automatically and exposes five key operations:

• Read individual node values
• Write to control nodes
• Browse the entire node hierarchy
• Batch read multiple nodes
• Batch write operations

Security Built In

Industrial systems require security. The server supports OPC UA's built-in security modes including username/password authentication and certificate-based encryption. Your AI agents get access to industrial data without compromising your network security.

Get Started

git clone https://github.com/kukapay/opcua-mcp.git
cd opcua-mcp
pip install mcp[cli] opcua cryptography

Set your OPC UA server URL and you're ready to give your AI agents industrial superpowers.

Whether you're building autonomous manufacturing systems, implementing predictive maintenance, or just need better visibility into your industrial processes, this server connects the dots between modern AI capabilities and industrial reality.