Opcua MCP
The OPC UA MCP Server project connects industrial systems with AI agents to enable real-time monitoring and control.
2.5 points
7.1K

What is the OPC UA MCP Server?

The OPC UA MCP Server is a tool that connects to OPC UA industrial systems, allowing AI assistants to read, analyze, and control device data in real-time.

How to use the OPC UA MCP Server?

You can start using it in just a few simple steps, including installing dependencies and configuring the client.

Applicable Scenarios

Suitable for industrial environments that require real-time monitoring and automated control, such as factory production lines and energy management systems.

Main Features

Read OPC UA Nodes
Obtain real-time data from industrial devices.
Write OPC UA Nodes
Send control instructions to devices by specifying node IDs.
Seamless Integration
Collaborate seamlessly with MCP clients (such as Claude Desktop) and support natural language interaction.
Advantages
Supports real-time data reading and control.
Easy to integrate with existing industrial systems.
Supports natural language interaction, reducing the usage threshold.
Limitations
Requires the support of an OPC UA server.
May require certain network latency optimization.

How to Use

Install Dependencies
Clone the project repository and install the required Python packages.
Configure the Client
Edit the configuration file to specify the OPC UA server address.

Usage Examples

Read Node Value
Query the current value of a certain node.
Write Node Value
Write a new value to the specified node.

Frequently Asked Questions

Does it support multiple OPC UA servers?
How to check if the server is working properly?

Related Resources

Official Documentation
Detailed API documentation and usage guides.
GitHub Repository
Source code and contribution guides.
Installation Tutorial Video
Quick start video.

Installation

Copy the following command to your Client for configuration
{
 "mcpServers": {
   "opcua-mcp": {
     "command": "python",
     "args": ["path/to/opcua_mcp/main.py"],
     "env": {
        "OPCUA_SERVER_URL": "your-opc-ua-server-url"
     }
   }
 }
}
Note: Your key is sensitive information, do not share it with anyone.

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