What does pyBittle-mcp-server do?
It acts as a bridge between the MCP protocol and the Bittle robot, allowing movement and pose commands to be sent via Bluetooth.
@cluesang
Basic information
MCP Server to control pyBittle via BLE
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"pyBittle-mcp-server": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
pyBittle-mcp-server is a Python MCP (Model Context Protocol) server for controlling the Bittle robot via Bluetooth. It exposes movement and pose commands such as forward, backward, turn, sit, and rest, making them accessible through any MCP‑compatible client.
Install uv and uvx, then set up dependencies using the provided start_server.sh script or by manually running uv pip install -r requirements.txt. Power on the Bittle robot in Bluetooth pairing mode and start the server with ./start_server.sh. Once running, use MCP tools (e.g., the MCP CLI) to invoke commands like mcp call move_forward.
bittle_mcp.log.It acts as a bridge between the MCP protocol and the Bittle robot, allowing movement and pose commands to be sent via Bluetooth.
Python 3.10+, `uv`, `uvx`, the pyBittle library, the mcp-server library, and a Bittle robot with Bluetooth enabled.
Ensure the Bittle is powered on and in Bluetooth pairing mode before launching the server. The server attempts to connect automatically and logs the status.
Check Bluetooth pairing and confirm no other process is using the Bittle connection. Review `bittle_mcp.log` for detailed error messages. If port conflicts occur, `start_server.sh` automatically handles killing existing server processes.
Commands include `move_forward`, `sit`, `rest`, and others. All are decorated with `@mcp.tool()` in `server.py` and automatically registered with the MCP server. Use `mcp call` to invoke them.

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