Frequently Asked Questions (FAQ)

Q: What is the Unitree Go2 MCP Server? A: It is a server built on the Model Context Protocol (MCP) that enables users to control the Unitree Go2 robot using natural language commands interpreted by a Large Language Model (LLM).

Q: What are the requirements to use this server? A: You need a Unitree Go2 robot, Ubuntu 20.04 or 22.04, and a ROS2 environment (Humble or Foxy).

Q: How do I install the Unitree Go2 MCP Server? A: The installation process involves setting up the unitree_ros2 environment, cloning the repository, optionally installing uv, and configuring the MCP server settings in mcp.json.

Q: What is MCP? A: MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs.

Q: How does the server translate natural language commands into robot actions? A: The LLM interprets the natural language command and translates it into ROS2 instructions, which the Unitree Go2 robot can understand and execute.

Q: Can I use this server with Claude Desktop? A: Yes, you can use this server with Claude Desktop. The instructions provide information on how to find and configure the mcp.json file for Claude Desktop.

Q: What is UBOS, and how does it relate to the MCP server? A: UBOS is a full-stack AI Agent Development Platform. It provides tools to orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model, and develop Multi-Agent Systems. The Unitree Go2 MCP Server can be integrated into the UBOS platform to enhance its capabilities.

Q: Where can I find a list of available functions? A: You can find a list of functions in the MCPFUNCTIONS.md file in the repository.

Q: How can I contribute to this project? A: Contributions are welcome! Please follow the contributing guidelines for more details on how to contribute to this project.