OPC UA MCP Server

A Model Context Protocol (MCP) server that provides seamless integration with OPC UA servers. This server enables AI assistants and other MCP clients to interact with industrial automation systems through standardized OPC UA communication protocols.

Overview

This MCP server acts as a bridge between AI assistants and OPC UA servers, allowing for:

• Reading sensor data and system variables
• Writing control values to actuators and systems
• Browsing OPC UA node hierarchies
• Calling OPC UA methods for system operations
• Batch operations for multiple nodes

Tools

See the central per-tool reference in docs/examples.md; the shared tool surface is defined in contract/tools.json.

Features

Key Capabilities

• Automatic Connection Management: Handles OPC UA client lifecycle with proper connection setup and teardown
• Type-Safe Operations: Automatic type conversion based on existing node data types
• Error Handling: Comprehensive error reporting for debugging and monitoring
• Async Support: Built on FastMCP for efficient asynchronous operations
• Configurable: Environment-based endpoint, security policy and credentials

Installation

Prerequisites

• Python 3.10 or higher
• Access to an OPC UA server (local or remote)
• UV package manager (recommended) or pip

From PyPI (recommended)

uvx opcua-mcp-server            # run without installing
uv tool install opcua-mcp-server   # or install permanently
pip install opcua-mcp-server       # or with pip

Point it at your OPC UA endpoint:

export OPCUA_SERVER_URL="opc.tcp://localhost:4840"

Registering with Claude Desktop

Rather than editing claude_desktop_config.json by hand, let the server write it:

opcua-mcp-server --install claude-desktop --url opc.tcp://192.168.0.10:4840

It merges into the existing config, backs the old one up, and records absolute paths — Claude Desktop is launched from the GUI and does not inherit a login shell's PATH, so a bare "command": "uvx" often works in a terminal and fails in the app. Add --dry-run to see the result first, --force to replace an existing opcua entry.

There is also a downloadable .mcpb bundle for Claude Desktop and single-file executables that need no Python at all — see docs/install.md.

In an MCP client:

{
  "mcpServers": {
    "opcua": {
      "command": "uvx",
      "args": ["opcua-mcp-server"],
      "env": { "OPCUA_SERVER_URL": "opc.tcp://localhost:4840" }
    }
  }
}

From source (development)

1. Install dependencies for the whole workspace (run from the repo root):

   uv sync --all-packages
   

2. Configure the OPC UA server URL:

   export OPCUA_SERVER_URL="opc.tcp://localhost:4840"
   

Configuration

The server is configured entirely through environment variables:

Names are case-insensitive, and a policy on its own implies SignAndEncrypt. An unusable combination — a mode without a policy, a policy without a certificate, a username without a password — is refused at startup with a message naming the variable. With no security configured the connection is unencrypted and unauthenticated, and the server says so on stderr; see SECURITY.md.

On the Python runtime, certificate and key files are parsed as PEM only when they are named *.pem and as DER otherwise (a python-opcua rule), so a PEM key called client.key fails to load — name it client_key.pem. The Node runtime sniffs the contents and accepts either name.

export OPCUA_SERVER_URL="opc.tcp://plc.example.internal:4840"
export OPCUA_SECURITY_POLICY="Basic256Sha256"     # implies SignAndEncrypt
export OPCUA_CLIENT_CERT="/etc/opcua/client.pem"
export OPCUA_CLIENT_KEY="/etc/opcua/client_key.pem"
export OPCUA_USERNAME="mcp-operator"
export OPCUA_PASSWORD="…"

Usage

Running the Server

After uv sync --all-packages from the repo root:

uv run --no-sync opcua-mcp-server

Or run it directly against this package from anywhere in the repo:

uv --directory packages/server-python run opcua-mcp-server

Integration with MCP Clients

Add to your MCP client configuration (e.g., config.json):

{
  "mcpServers": {
    "opcua-mcp": {
      "command": "/path/to/uv",
      "args": [
        "--directory",
        "/path/to/packages/server-python",
        "run",
        "opcua-mcp-server"
      ],
      "env": {
        "OPCUA_SERVER_URL": "opc.tcp://localhost:4840"
      }
    }
  }
}

Example Usage in Conversation

Once configured, you can ask Claude to perform real-world OPC UA operations:

Reading Sensor Values

• "What is the current temperature reading from the reactor vessel?"
• "Check the pressure level in Tank A"
• "Read all temperature sensors in the cooling system"
• "Get the current flow rate on production line B"

Controlling Equipment

• "Turn on the conveyor motor"
• "Set the mixer speed to 80 RPM"
• "Open valve V-101 to 75% position"
• "Start the circulation pump"
• "Set the heating element to 150°C"

Production Operations

• "Start production on line 1 with rate 100 units/hour"
• "Stop all motors in emergency mode"
• "Initialize the batch reactor with recipe A"
• "Begin the cleaning cycle for Tank B"

System Monitoring

• "Show me all alarm states in the system"
• "Read all sensor values from the water treatment plant"
• "Check the status of all pumps and motors"
• "Get the energy consumption readings"
• "What variables are available on this OPC UA server?"
• "Show me all sensors and their current values"

Real Example Scenarios

User: "What's the temperature in reactor R-101?"
Assistant: I'll read the temperature sensor for reactor R-101.
Tool call: read_opcua_node with node_id "ns=2;i=11"
Result: "Reactor R-101 temperature: 87.3°C"

User: "Turn on the main conveyor motor"
Assistant: I'll start the main conveyor motor for you.
Tool call: write_opcua_node with node_id "ns=2;i=12" and value "true"
Result: "Main conveyor motor started successfully"

User: "Set the pump speed to 65%"
Assistant: I'll adjust the pump speed to 65%.
Tool call: write_opcua_node with node_id "ns=2;i=13" and value "65"
Result: "Pump speed set to 65%"

User: "What variables are available on this OPC UA server?"
Assistant: I'll retrieve all available variables from the OPC UA server.
Tool call: get_all_variables
Result: Found 5 variables:
- Temperature (ns=2;i=2): 25.3°C - Temperature sensor
- Pressure (ns=2;i=3): 5.0 bar - Pressure sensor  
- MotorSpeed (ns=2;i=4): 1500 RPM - Motor speed
- MotorState (ns=2;i=5): True - Motor ON/OFF state
- ValvePosition (ns=2;i=6): False - Valve OPEN/CLOSED position

API Reference

See the central per-tool reference in docs/examples.md for full tool signatures, parameters, and return formats. The shared tool surface is defined in contract/tools.json.