Overview

This project demonstrates a Sparkplug B (SPB) implementation featuring a chat-based interface for industrial IoT monitoring and control. It combines a Sparkplug MCP server with a web application that allows users to query device data, analyze historical metrics, and monitor device status through natural language interactions. The system supports both real-time monitoring and historical analysis of device metrics, making it ideal for industrial automation and IoT applications.

Architect diagram

Setup workspace

Follow the steps below to set up and run the application:

1. Clone the Repository

git clone https://github.com/emqx/uns-demo/
cd uns-demo

2. The project use uv to manage libs and project, please install uv before getting start.

3. Some dependencies need to be compiled through cmake, please install cmake before getting start.

4. Install Dependencies and Activate Virtual Environment

uv sync
uv venv

Pre-conditions

Install software and configurations

Please refer to software preparation.

Run the application

Steps

• Copy .env.example to .env and modify the values accordingly.
• Run sparkplug mcp server

  uv run spb_server.py

• Run biz mcp server

  uv run biz_app.py

• Run main application

  uv run main.py

• Open http://localhost:8000/ in browser.
• Type questions in the chatbox.

Demos

Refer to doc for detailed demo scenarios.