Thingsboard Mcp Server
What is Thingsboard Mcp Server
Thingsboard MCP Server is a server designed to utilize Thingsboard data as context in Large Language Model (LLM) tools, enhancing the capabilities of these models by providing relevant data.
Use cases
Use cases include integrating Thingsboard data into AI-driven applications, improving natural language processing tasks, and enhancing decision-making processes in smart environments.
How to use
To use the Thingsboard MCP Server, set up the environment using ‘uv’, create a virtual environment, add necessary environment variables in a .env file, install dependencies, and run the server using the command ‘uv run src/thingsboard.py’.
Key features
Key features include easy setup on both Windows and Linux, the ability to connect to Thingsboard for data context, and support for virtual environments to manage dependencies effectively.
Where to use
Thingsboard MCP Server can be used in various fields such as data analytics, machine learning, and IoT applications where contextual data from Thingsboard enhances the performance of LLM tools.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Thingsboard Mcp Server
Thingsboard MCP Server is a server designed to utilize Thingsboard data as context in Large Language Model (LLM) tools, enhancing the capabilities of these models by providing relevant data.
Use cases
Use cases include integrating Thingsboard data into AI-driven applications, improving natural language processing tasks, and enhancing decision-making processes in smart environments.
How to use
To use the Thingsboard MCP Server, set up the environment using ‘uv’, create a virtual environment, add necessary environment variables in a .env file, install dependencies, and run the server using the command ‘uv run src/thingsboard.py’.
Key features
Key features include easy setup on both Windows and Linux, the ability to connect to Thingsboard for data context, and support for virtual environments to manage dependencies effectively.
Where to use
Thingsboard MCP Server can be used in various fields such as data analytics, machine learning, and IoT applications where contextual data from Thingsboard enhances the performance of LLM tools.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Thingsboard MCP Server
Setup environment using uv
Windows
# Install uv powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" # Create virtual environment uv venv # Activate virtual environment .venv\Scripts\activate
Linux
# Install uv curl -LsSf https://astral.sh/uv/install.sh | sh # Create virtual environment uv venv # Activate virtual environment source .venv/bin/activate
Add environment variables
Create .env file: cp .env.example .env
Add the environment variables to allow the MCP server to connect to Thingsboard.
Install dependencies
uv pip install -r pyproject.toml
Run server
uv run src/thingsboard.py
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
