OPC UA MCP Server: Future-Proof Automation Integration

Empower OPC UA-enabled industrial systems with our MCP Server—seamlessly integrating, future-proofing, and amplifying automation efficiency like never before."

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About OPC UA MCP Server

What is OPC UA MCP Server: Future-Proof Automation Integration?

OPC UA MCP Server acts as a bridge between AI-driven systems and industrial automation infrastructure. It enables real-time interaction with OPC UA-enabled devices, allowing AI agents to monitor operational data, execute analyses, and perform control actions. This solution is designed for developers and engineers aiming to integrate modern AI workflows with legacy or cutting-edge industrial systems. Backed by Python 3.10+, it ensures compatibility with future advancements in both automation and artificial intelligence.

Key Features of OPC UA MCP Server: Future-Proof Automation Integration?

At its core, the server provides two foundational capabilities: real-time data access and device control. Through its API, users can:

Read current values from OPC UA nodes to track equipment status or production metrics
Issue commands to industrial devices by writing to OPC UA nodes
Leverage seamless integration with MCP clients like Claude Desktop for natural language-driven automation workflows

These features are supported by robust error handling and network resilience, ensuring reliable operation in industrial environments.

OPC UA MCP Server Features

How to Use OPC UA MCP Server

Implementation follows three main steps:

Installation: Ensure Python 3.10+ is installed, then clone the repository and execute pip install asyncua mcp[cli]
Configuration: Set environment variables including OPCUA_SERVER_URL pointing to your target device
Execution: Deploy the server through standard MCP client commands, enabling bidirectional communication with industrial assets

Full documentation includes examples for common use cases like temperature regulation systems and production line monitoring.

Common Use Cases

Organizations utilize this technology in scenarios such as:

Manufacturing: Real-time quality control through sensor data analysis
Energy Management: AI-driven optimization of grid resources using turbine status updates
Logistics: Automated warehouse systems responding to inventory sensor feeds

OPC UA MCP Server FAQ

FAQ: Getting Started

Q: Does this require specialized OPC UA hardware?

A: No - works with any OPC UA compliant device, from PLC controllers to IoT sensors

Q: How is security handled?

A: Leverages OPC UA's built-in security features including encryption and role-based access control

Q: Can I customize the API endpoints?

A: Yes - configuration files allow mapping OPC UA nodes to specific API paths for business logic integration

Content

OPC UA MCP Server

An MCP server that connects to OPC UA-enabled industrial systems, allowing AI agents to monitor, analyze, and control operational data in real time.

This project is ideal for developers and engineers looking to bridge AI-driven workflows with industrial automation systems.

GitHub License

Features

Read OPC UA Nodes : Retrieve real-time values from industrial devices.
Write to OPC UA Nodes : Control devices by writing values to specified nodes.
Seamless Integration : Works with MCP clients like Claude Desktop for natural language interaction.

Tools

The server exposes two tools:

read_opcua_node :
- Description : Read the value of a specific OPC UA node.
- Parameters :
  - node_id (str): OPC UA node ID (e.g., ns=2;i=2).
- Returns : A string with the node ID and its value (e.g., "Node ns=2;i=2 value: 42").
write_opcua_node :
- Description : Write a value to a specific OPC UA node.
- Parameters :
  - node_id (str): OPC UA node ID (e.g., ns=2;i=3).
  - value (str): Value to write (converted based on node type).
- Returns : A success or error message (e.g., "Successfully wrote 100 to node ns=2;i=3").

Example Prompts

"What’s the value of node ns=2;i=2?" → Returns the current value.
"Set node ns=2;i=3 to 100." → Writes 100 to the node.

Installation

Prerequisites

Python 3.10 or higher
An OPC UA server (e.g., a simulator or real industrial device)

Install Dependencies

Clone the repository and install the required Python packages:

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

MCP Client Configuration

{
 "mcpServers": {
   "opcua-mcp": {
     "command": "python",
     "args": ["path/to/opcua_mcp/main.py"],
     "env": {
        "OPCUA_SERVER_URL": "your-opc-ua-server-url"
     }
   }
 }
}

License

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