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Connect LLMs to ROS robots for command-driven interaction and automation.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.robotmcp/ros-mcp-server" MCP server from askskill: Run: claude mcp add 'io-github-robotmcp-ros-mcp-server' -- npx -y ros-mcp
Connect to my ROS robot through ros-mcp-server. Read the available topics and services, then explain how to command the robot in natural language to move forward 1 meter and stop.
Provides an overview of available robot interfaces and an actionable natural-language control plan or invocation steps.
Use ros-mcp-server to inspect the robot's current nodes, topics, and logs. Help me find possible reasons why the base is not responding to velocity commands, and provide prioritized troubleshooting steps.
Returns diagnostic findings, likely failure points, and step-by-step troubleshooting recommendations.
Using ros-mcp-server, design an automated workflow for an inspection robot: start navigation, visit three checkpoints, collect sensor data, trigger alerts on anomalies, and explain which ROS capabilities are needed at each step.
Generates a structured task workflow describing key steps, required capabilities, and exception-handling logic.
Connect ROBOT.md to MCP agents for structured manifest access and validation.
Connect MCP-compatible AI assistants to a Robonine robot arm for local control.
Connect to the mcp API via MCP to extend AI tool capabilities.
Connect home automation systems for AI-driven device status checks and control.
Connect to and operate MCP servers from the command line.
Connect agriculture robotics capabilities for automation workflows and intelligent application development.