roomba_mcp_server

This MCP server acts as the Roomba Controller, enabling you to manage and interact with a Roomba via the provided Python script. It uses the UV tool workflow to synchronize dependencies and then runs the main controller script. Once started, the server exposes the Roomba control capabilities through the main.py entry point, allowing you to issue commands and monitor state as part of the MCP ecosystem. You can initialize the project with the synchronization step and then launch the controller to begin controlling the Roomba.

Prerequisites:

• Python 3.8+ installed on your system
• Access to the repository containing the Roomba MCP server

1. Clone the repository:

git clone https://github.com/OWNER/roomba_mcp_server.git
cd roomba_mcp_server

2. Ensure you have the UV tool available. If your environment uses UV, install or ensure it is in your PATH. If you’re using a different setup, adapt installation accordingly.

3. Synchronize dependencies with UV (as per the README):

uv sync

4. Start the server:

uv run main.py

If you’re running directly with Python instead of UV, you can start with:

python main.py

5. Verify the server is running and ready to accept Roomba control commands.

Tips and caveats:

• The setup relies on the UV tooling workflow (uv sync and uv run main.py). Ensure that your environment has UV installed and accessible in your PATH.
• If you modify configuration or dependencies, re-run uv sync to refresh the environment.
• If the Roomba requires network access or specific credentials, set the appropriate environment variables or configuration options as needed by main.py.
• Check logs from main.py for diagnostics if the controller does not appear to respond to commands.