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Let AI read and control industrial devices via standard industrial protocols.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "industrial-mcp" yet — see the docs or source repo.
Connect to an industrial device using Modbus, read the current register values for temperature, pressure, and operating status, and return them in a structured format.
A structured result with key device status values for further AI analysis or display.
Connect to the target device over OPC UA, switch its operating mode to maintenance mode, and confirm whether the write succeeded.
An operation result showing whether the control action succeeded and the confirmation details.
Do not connect to real hardware. Use simulation mode to emulate an industrial device that reports status over MQTT, and verify that the AI can correctly read and respond to those messages.
A test result that validates read and control logic without requiring real hardware.
Developers can use it to connect AI applications to shop-floor devices through Modbus, OPC UA, or MQTT. This reduces the need to build separate integrations for each protocol.
Before connecting to real industrial hardware, teams can test AI read, decision, and control flows in simulation mode. This helps reduce the risk of operating live equipment directly.
When field devices use Modbus, OPC UA, and MQTT, this MCP tool can serve as a unified interface for AI access. It fits scenarios that need cross-protocol status reading and device control.
It is an MCP server that lets AI models read and control industrial devices through standard protocols such as Modbus, OPC UA, and MQTT. It supports both simulation mode and real hardware mode.
The provided description explicitly mentions Modbus, OPC UA, and MQTT. For any additional protocols, see the source repository.
Not necessarily. The description says it supports both simulation mode and real hardware mode, so you can use it in a simulated environment first.
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