Thingsboard MCP Server
@AnyContext-ai
About Thingsboard MCP Server
Thingsboard MCP Server for using Thingsboard Data as context in LLM tools
Basic information
Config
No standard config provided
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RepositoryTools
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Overview
What is Thingsboard MCP Server?
The Thingsboard MCP Server connects AI assistants via the Model Context Protocol to Thingsboard, an open-source IoT platform. It is designed for developers integrating IoT device data and dashboards with AI-powered tools.
How to use Thingsboard MCP Server?
Install uv, create a virtual environment, copy the .env.example file to .env, add Thingsboard connection variables, install dependencies with uv pip install -r pyproject.toml, and run the server with uv run src/thingsboard.py.
Key features of Thingsboard MCP Server
- Connects MCP-compatible clients to Thingsboard IoT platform
- Uses environment variables for secure Thingsboard authentication
Use cases of Thingsboard MCP Server
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FAQ from Thingsboard MCP Server
What dependencies does Thingsboard MCP Server require?
Python and the uv package manager are required. Dependencies are listed in pyproject.toml and installed via uv.
How do I configure Thingsboard MCP Server?
Create a .env file from the provided .env.example and add the environment variables needed to connect to your Thingsboard instance.
How do I run Thingsboard MCP Server on Windows?
Install uv, create a virtual environment with .venv\Scripts\activate, install dependencies, and run uv run src/thingsboard.py.
How do I run Thingsboard MCP Server on Linux?
Install uv, create a virtual environment with source .venv/bin/activate, install dependencies, and run uv run src/thingsboard.py.
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