B&R Automation Studio MCP Server

B&R Automation Studio MCP Server

Enables AI assistants to interact with B\&R Automation Studio projects by building code, running ARsim simulators, and reading or writing OPC UA variables. It facilitates industrial automation development and real-time variable integration through natural language commands.

Category
Visit Server

README

B&R Automation Studio MCP Server

An MCP (Model Context Protocol) server that enables AI assistants like Claude to interact with B&R Automation Studio projects. Build projects, run simulators, and read/write OPC UA variables - all through natural language.

Features

  • Build Projects - Compile Automation Studio projects for simulation
  • Run Simulator - Launch ARsim and connect automatically
  • OPC UA Integration - Read and write PLC variables in real-time

Prerequisites

  • Windows 10/11 with B&R Automation Studio 4.x installed
  • Python 3.10+ on Windows (with pip)
  • Claude Code (native Windows or WSL2)

Installation

1. Clone this repository

git clone https://github.com/AndrewMusser/br-automation-mcp.git
cd br-automation-mcp

2. Install Python dependencies

pip install -r requirements.txt

3. Configure server settings

Edit server.py to match your environment:

3a. B&R Tool Paths

Update these paths to match your Automation Studio installation:

AS_BUILD_PATH = "C:\\BrAutomation\\AS412\\bin-en\\BR.AS.Build.exe"
PVI_TRANSFER_PATH = "C:\\BrAutomation\\PVI\\V4.12\\PVI\\Tools\\PVITransfer\\PVITransfer.exe"

Common installation locations:

  • AS 4.12: C:\BrAutomation\AS412\bin-en\BR.AS.Build.exe
  • AS 4.9: C:\BrAutomation\AS49\bin-en\BR.AS.Build.exe
  • PVI: Typically under C:\BrAutomation\PVI\V4.x\PVI\Tools\PVITransfer\

3b. OPC UA Parameters

Configure the OPC UA connection settings for communicating with ARsim:

OPCUA_HOST = "localhost"
OPCUA_PORT = 4840
OPCUA_USERNAME = "Admin"
OPCUA_PASSWORD = "password"

Important: These credentials must match your Automation Studio project's OPC UA configuration:

  • User/role settings: Physical/<Config>/<CPU>/AccessAndSecurity/UserRoleSystem/
  • OPC UA config: Physical/<Config>/<CPU>/Connectivity/OpcUA/

4. Configure Claude Code

Choose the setup that matches how you run Claude Code:


Option A: Native Windows (Recommended)

Claude Code now runs natively on Windows via Git Bash, PowerShell, or CMD. This is the simplest setup since both Claude Code and Automation Studio run on the same machine.

Install Claude Code on Windows:

winget install Anthropic.ClaudeCode

Configuration file: %APPDATA%\Claude\settings.json

Add to settings:

{
  "mcpServers": [
    {
      "name": "br-automation-mcp",
      "type": "stdio",
      "command": "python",
      "args": ["D:\\path\\to\\br-automation-mcp\\server.py"],
      "enabled": true
    }
  ]
}

Architecture:

┌─────────────────────────────────────────────────────────────┐
│  Windows                                                    │
│                                                             │
│  ┌─────────────┐    ┌─────────────────────────────────────┐ │
│  │ Claude Code │───▶│  server.py (MCP STDIO Server)       │ │
│  │ (Git Bash)  │    └───────────────┬─────────────────────┘ │
│  └─────────────┘                    │                       │
│                                     │                       │
│         ┌───────────────────────────┼───────────────┐       │
│         ▼                           ▼               ▼       │
│  ┌─────────────┐          ┌──────────────┐  ┌─────────┐     │
│  │ BR.AS.Build │          │ PVITransfer  │  │  OPC UA │     │
│  │   (Build)   │          │  (Simulate)  │  │  (Test) │     │
│  └─────────────┘          └──────────────┘  └─────────┘     │
└─────────────────────────────────────────────────────────────┘

Option B: WSL2 (Cross-Platform)

If you run Claude Code in WSL2, it can invoke the Windows Python server via PowerShell interop.

Configuration file: ~/.claude/settings.json

Add to settings:

{
  "mcpServers": [
    {
      "name": "br-automation-mcp",
      "type": "stdio",
      "command": "powershell.exe",
      "args": [
        "-ExecutionPolicy",
        "Bypass",
        "-File",
        "D:\\path\\to\\br-automation-mcp\\run-server.ps1"
      ],
      "enabled": true
    }
  ]
}

Architecture:

┌─────────────────────────────────────────────────────────────┐
│  WSL2 (Linux)                                               │
│  ┌─────────────────┐                                        │
│  │   Claude Code   │                                        │
│  │                 │──── powershell.exe ────┐               │
│  └─────────────────┘                        │               │
└─────────────────────────────────────────────│───────────────┘
                                              │
┌─────────────────────────────────────────────│───────────────┐
│  Windows                                    ▼               │
│  ┌─────────────────┐    ┌─────────────────────────────────┐ │
│  │  run-server.ps1 │───▶│  server.py (MCP STDIO Server)   │ │
│  └─────────────────┘    └───────────────┬─────────────────┘ │
│                                         │                   │
│         ┌───────────────────────────────┼───────────────┐   │
│         ▼                               ▼               ▼   │
│  ┌─────────────┐              ┌──────────────┐  ┌─────────┐ │
│  │ BR.AS.Build │              │ PVITransfer  │  │  ARsim  │ │
│  │   (Build)   │              │  (Simulate)  │  │ (OPC UA)│ │
│  └─────────────┘              └──────────────┘  └─────────┘ │
└─────────────────────────────────────────────────────────────┘

5. Restart Claude Code

After updating the configuration, restart Claude Code to load the MCP server.

Available Tools

build_automation_studio_project

Compiles an Automation Studio project for simulation.

Parameters:

  • project_file - Path to the .apj file (Windows path)
  • configuration - Name of the configuration to build

Example prompt: "Build my project at D:\Projects\MyApp\MyApp.apj using the X20CPU configuration"

run_automation_studio_simulator

Creates ARsim structure and launches the simulator.

Parameters:

  • ruc_package - Path to RUCPackage.zip (generated by build)
  • start_simulator - Whether to start immediately (default: true)

Example prompt: "Start the simulator using the RUC package at D:\Projects\MyApp\Binaries\X20CPU\X20CP1686X\RUCPackage\RUCPackage.zip"

opcua_read_write

Reads or writes OPC UA variables on the running simulator.

Parameters:

  • node_id - OPC UA node identifier (e.g., ns=6;s=::TaskName:varName)
  • operation - "read" or "write"
  • value - Value to write (for write operations)
  • value_type - Data type: Boolean, Int16, Int32, Float, Double, String

Example prompts:

  • "Read the temperature variable from the TempCtrl task"
  • "Set the targetTemp to 75.0 in the TempCtrl task"

OPC UA Node ID Format

For task-local variables:

ns=6;s=::<TaskName>:<VariableName>

For global variables:

ns=6;s=::AsGlobalPV:<VariablePath>

Note: Variables must be exposed in the OPC UA configuration (OpcUaMap.uad) to be accessible.

Troubleshooting

"Command not found" errors

Ensure Python is in your Windows PATH and the B&R tool paths in server.py are correct.

OPC UA connection failures

  • Verify the simulator is running
  • Check that variables are exposed in OpcUaMap.uad
  • Default credentials are Admin/password

WSL2 can't find powershell.exe

Ensure WSL2 has Windows interop enabled (default). Check with:

which powershell.exe

License

MIT License - see LICENSE for details.

Contributing

Contributions are welcome! Please feel free to submit issues and pull requests.

Acknowledgments

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured