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 Python Version Status

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.

Related MCP server: Odoo MCP Server

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" } } } }