Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Connhex MCP Server show me the latest telemetry from device-1"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Tools workspace for Connhex. Contains the MCP server, the CLI, and the API SDK as sibling packages in a single uv workspace.
Package | Description | README |
Async Python client for the Connhex API. Used internally by the other packages. | ||
MCP server that exposes Connhex APIs as tools for AI clients (Claude, etc.). | ||
Command-line interface for managing connhex resources. |
Related MCP server: ThingsBoard MCP Server
Prerequisites: Python 3.11+, uv.
git clone https://github.com/compiuta-origin/connhex-tools.git
cd connhex-tools
uv syncThis installs all three packages and their dependencies into a shared .venv.
uv run pytest # run all tests
uv run ruff check . && uv run ruff format .
uv run pre-commit run --all-filesRun a specific package's tests:
uv run pytest packages/connhex-cli/testsUnclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/compiuta-origin/connhex-tools'
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