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OPCUA-MCP
Un servidor MCP que se conecta a los sistemas industriales habilitados para la UA de OPC.
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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.
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.
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Reviews

user_Mv3sJtwE
opcua-mcp by kukapay is an excellent tool for seamless OPC UA protocol management. The GitHub repository is well-documented, making integration straightforward and efficient. The code is clean and written in a user-friendly language, ensuring reliable performance. Highly recommend checking out and contributing to this project!