README

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.

OPC UA MCP Server

README

OPC UA MCP Server

Features

Tools

Example Prompts

Installation

Prerequisites

Install Dependencies

MCP Client Configuration

License

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