What is Mcpx and its primary function?

Mcpx is an MCP server designed to enable generative AI to access and control Mitsubishi PLC devices in real time, utilizing the MC Protocol for seamless communication.

How does Mcpx facilitate AI interaction with Mitsubishi PLCs?

It allows generative AI to issue natural language instructions for real-time reading and writing operations on Mitsubishi PLC devices, simplifying complex industrial automation tasks.

Does Mcpx support named access for PLC devices?

Yes, Mcpx allows users to predefine device addresses with human-readable names. This enables AI to operate devices using familiar names rather than raw addresses, enhancing usability.

What communication protocols and deployment methods does Mcpx support?

Mcpx supports both TCP/UDP and ASCII/Binary MC Protocol modes for flexible PLC communication. It's designed for easy deployment and management using Docker and Docker Compose.

Mcpx

Name: Mcpx
Author: YudaiKitamura

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Enables generative AI to access Mitsubishi PLC devices in real time using the MC Protocol.

mcpx-mcp-server acts as a crucial bridge, allowing generative AI to interact directly with Mitsubishi PLC devices in real time. Leveraging the high-performance NativeAOT build of the McpX library for robust MC Protocol communication, this server facilitates both reading from and writing to industrial controllers. Its key innovation lies in enabling natural language control of PLC devices, where users can define device names and addresses, and then instruct the AI to manage operations without needing to know specific addresses. This capability streamlines industrial automation, making complex PLC interactions more intuitive and accessible for AI-driven systems.

Key Features

01Real-time reading and writing to Mitsubishi PLC devices

02Operate PLCs using natural language instructions from generative AI

03Named access to devices by predefining addresses and names

04Support for both TCP/UDP and ASCII/Binary MC Protocol modes

05Dockerized deployment for easy setup and management

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Use Cases

01Automating industrial machinery and processes with AI commands

02Real-time monitoring of production lines and equipment status

03Configuring PLC parameters and target values via natural language