Thingsboard MCP Server for using Thingsboard Data as context in LLM tools
{
"mcpServers": {
"thingsboard-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Thingsboard MCP Server for using Thingsboard Data as context in LLM tools
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 439 days ago. 9 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
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Dynamic problem-solving through sequential thought chains
A Model Context Protocol server for searching and analyzing arXiv papers
An open-source AI agent that brings the power of Gemini directly into your terminal.
The official Python SDK for Model Context Protocol servers and clients
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# 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
# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
# Create virtual environment
uv venv
# Activate virtual environment
source .venv/bin/activate
Create .env file: cp .env.example .env
Add the environment variables to allow the MCP server to connect to Thingsboard.
uv pip install -r pyproject.toml
uv run src/thingsboard.py