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Connect to ROS 2 systems for debugging, checks, and automation
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nrs_llm" yet — see the docs or source repo.
Connect to the specified rosbridge WebSocket endpoint, check whether the ROS 2 robot is online, and return a summary of available nodes, topics, and basic connection status.
A connectivity result plus an overview of currently accessible nodes and topics.
List the service interfaces in the current ROS 2 environment, find a service related to reset or task start, call it, and output the request parameters and response.
A list of matching services, the actual service call content, and the returned response.
Scan available topics, subscribe to robot status or sensor-related topics, capture the latest messages, and format them into a debugging-friendly summary.
A list of target topics, sample messages, and a structured summary suitable for troubleshooting.
Connect AI to Unreal Engine for natural language development interactions.
Enable AI agents to perceive and understand physical spaces through depth vision.
Connect ROBOT.md to MCP agents for structured manifest access and validation.
Explore ROS2 workspace graphs, dependencies, and communication definitions through MCP tools.
Connect and control robotics capabilities through an MCP server for AI workflows.
Control a Unitree GO2 robot's movement and posture through ROS2 MCP tools.