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thingspanel-mcp

MCP.Pizza Chef: ThingsPanel

ThingsPanel MCP Server connects the ThingsPanel IoT platform with AI models like Claude, GPT, and others supporting MCP. It enables natural language interaction with IoT devices, real-time monitoring, device control, and data analysis, simplifying IoT management through AI-driven workflows and seamless integration.

Use This MCP server To

Interact with IoT devices using natural language commands Retrieve detailed device information instantly Monitor real-time device performance and status Control IoT devices with simplified commands Analyze platform-wide IoT data and trends Integrate IoT data streams with AI models for insights Automate IoT device management workflows Generate reports from IoT device statistics

README

ThingsPanel MCP License Python Version PyPI version

ThingsPanel IoT Platform's MCP (Model Context Protocol) Server.

English | 中文

🚀 Project Overview

ThingsPanel MCP Server is an innovative intelligent interface that enables you to:

  • Interact with IoT devices using natural language
  • Easily retrieve device information
  • Monitor device performance and status in real-time
  • Simplify device control commands
  • Analyze platform-wide statistical data and trends

Target Audience

Intended Users

  • IoT Solution Developers: Engineers and developers building solutions on the ThingsPanel IoT platform and seeking AI integration capabilities
  • AI Integration Experts: Professionals looking to connect AI models with IoT systems
  • System Administrators: IT personnel managing IoT infrastructure and wanting to enable AI-driven analysis and control
  • Product Teams: Teams building products that combine IoT and AI functionality

Problems Addressed

  • Integration Complexity: Eliminates the need to create custom integrations between AI models and IoT platforms
  • Standardized Access: Provides a consistent interface for AI models to interact with IoT data and devices
  • Security Control: Manages authentication and authorization for AI access to IoT systems
  • Lowered Technical Barriers: Reduces technical obstacles to adding AI capabilities to existing IoT deployments

Ideal Application Scenarios

  • Natural Language IoT Control: Enable users to control devices through AI assistants using natural language
  • Intelligent Data Analysis: Allow AI models to access and analyze IoT sensor data for insights
  • Anomaly Detection: Connect AI models to device data streams for real-time anomaly detection
  • Predictive Maintenance: Enable AI-driven predictive maintenance by providing device history access
  • Automated Reporting: Create systems that can generate IoT data reports and visualizations on demand
  • Operational Optimization: Use AI to optimize device operations based on historical patterns

✨ Core Features

  • 🗣️ Natural Language Querying
  • 📊 Comprehensive Device Insights
  • 🌡️ Real-time Telemetry Data
  • 🎮 Convenient Device Control
  • 📈 Platform-wide Analytics

🛠️ Prerequisites

  • Python 3.8+
  • ThingsPanel Account
  • ThingsPanel API Key

📦 Installation

Option 1: Pip Installation

pip install thingspanel-mcp

Option 2: Source Code Installation

# Clone the repository
git clone https://github.com/ThingsPanel/thingspanel-mcp.git

# Navigate to project directory
cd thingspanel-mcp

# Install the project
pip install -e .

🔐 Configuration

Configuration Methods (Choose One)

Method 1: Direct Command Line Configuration (Recommended)
thingspanel-mcp --api-key "Your API Key" --base-url "Your ThingsPanel Base URL"
Method 2: Environment Variable Configuration

If you want to avoid repeated input, set environment variables:

# Add to ~/.bashrc, ~/.zshrc, or corresponding shell config file
export THINGSPANEL_API_KEY="Your API Key"
export THINGSPANEL_BASE_URL="Your ThingsPanel Base URL"

# Then run
source ~/.bashrc  # or source ~/.zshrc

💡 Tips:

  • API keys are typically obtained from the API KEY management in the ThingsPanel platform
  • Base URL refers to your ThingsPanel platform address, e.g., http://demo.thingspanel.cn/
  • Command-line configuration is recommended to protect sensitive information

🖥️ Claude Desktop Integration

Add the following to your Claude desktop configuration file (claude_desktop_config.json):

{
  "mcpServers": {
    "thingspanel": {
      "command": "thingspanel-mcp",
      "args": [
        "--api-key", "Your API Key",
        "--base-url", "Your Base URL"
      ]
    }
  }
}

🤔 Interaction Examples

Using the ThingsPanel MCP Server, you can now make natural language queries such as:

  • "What is the current temperature of my sensor?"
  • "List all active devices"
  • "Turn on the automatic sprinkler system"
  • "Show device activity for the last 24 hours"

🛡️ Security

  • Secure credential management
  • Uses ThingsPanel official API
  • Supports token-based authentication

License

Apache License 2.0

🌟 Support Us

If this project helps you, please give us a star on GitHub! ⭐

thingspanel-mcp FAQ

How do I connect ThingsPanel MCP Server to my IoT devices?
You configure your ThingsPanel IoT platform credentials and endpoints in the MCP server settings to enable device communication.
Can ThingsPanel MCP Server work with multiple AI models?
Yes, it supports any AI model compatible with the Model Context Protocol, including Claude, GPT, and Gemini.
What programming languages is ThingsPanel MCP Server compatible with?
The server is implemented in Python and can be integrated with any system that supports MCP clients.
How does ThingsPanel MCP Server handle real-time device monitoring?
It streams live device status and performance data to connected AI models for immediate analysis and response.
Is the ThingsPanel MCP Server secure for enterprise IoT deployments?
Yes, it follows MCP's principles for secure, scoped, and observable model interactions, ensuring safe data handling.
Can I customize device control commands in ThingsPanel MCP Server?
Yes, you can define and extend command sets to fit your specific IoT device control needs.
Does ThingsPanel MCP Server support multi-language natural language processing?
Support depends on the connected AI model's capabilities, many of which handle multiple languages effectively.
Where can I find documentation and support for ThingsPanel MCP Server?
Documentation is available on the GitHub repository and official ThingsPanel website, with community and developer support channels.