ROS MCP Client

Example Use Cases

• 1

  Send natural language commands to ROS or ROS2 robots without a desktop LLM client.

• 2

  Real-time bidirectional streaming of commands and sensor feedback from robots.

• 3

  Integrate local LLMs for autonomous reasoning and control of robots.

Description

The ROS MCP Client acts as a bridge integrating large language models (LLMs) with ROS or ROS2 robots via the MCP protocol, enabling natural language queries and structured requests without needing a desktop LLM client. It supports bidirectional streaming for real-time feedback and can integrate with local LLMs like Gemini, Ollama, or Nvidia NeMo. This client is version-agnostic, works offline or on LAN, and is useful for testing, local reasoning, or autonomous AI controllers.