What is M5 StamPLC MCP Server?

It's a Model Context Protocol (MCP) server implementation for M5 StamPLC hardware, designed to enable AI models and agentic workflows to interact directly with industrial control features and sensors.

What hardware is required to use M5 StamPLC MCP Server?

You will need M5 StamPLC hardware, a stable WiFi network connection, and PlatformIO (or Arduino IDE with ESP32 support) for building and uploading the firmware.

How does the M5 StamPLC MCP Server communicate with AI models?

It communicates via a JSON-RPC style API over HTTP for commands and Server-Sent Events (SSE) for real-time updates, adhering to the Model Context Protocol standard.

What M5 StamPLC features can I control or monitor?

You can control digital inputs, relays, console logging, real-time clock (RTC), buzzer, and monitor temperature, power voltage, and IO socket current via a comprehensive API.

Does it provide real-time data updates?

Yes, it offers real-time updates on the state of inputs, relays, and sensor data (temperature, voltage, current) through its dedicated /events SSE endpoint.

M5 StamPLC MCP Server: AI Integration for Industrial IoT

The M5 StamPLC tool provides a robust Model Context Protocol (MCP) server implementation for the M5StamPLC device, facilitating seamless communication between the hardware and AI models like Claude, often integrated via n8n agentic AI workflows. It exposes a JSON-RPC style API over HTTP/SSE, allowing for real-time control and monitoring of industrial automation components such as digital inputs, relays, and sensors. This server is designed for developers seeking to bridge the gap between intelligent AI systems and physical industrial processes, offering a standardized protocol for advanced automation and remote control.

Key Features

01JSON-RPC style API compatible with Model Context Protocol

020 GitHub stars

03Comprehensive control over M5 StamPLC features: digital inputs, relay control, console logging, RTC management, buzzer, temperature, voltage, and current sensors

04HTTP/SSE (Server-Sent Events) for real-time communication

05Visual status indicators via RGB LED for WiFi, time sync, operation, and command reception

06Automatic RTC time synchronization via NTP

Use Cases

01Creating custom applications to interact with M5 StamPLC hardware, read sensor data, and manage outputs via a standardized API.

02Integrating M5 StamPLC devices with AI models (e.g., Claude AI) for intelligent automation and remote control.

03Developing agentic AI workflows (e.g., using n8n) to monitor and control industrial processes.