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Control a Sphero RVR robot through MCP with AI assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sphero-rvr-mcp" yet — see the docs or source repo.
Use sphero-rvr-mcp to move the Sphero RVR forward 2 meters, turn right 90 degrees, and then stop.
Executes the movement commands and returns the control result or execution status.
Use sphero-rvr-mcp to set the Sphero RVR LEDs to blinking blue to indicate standby status.
Updates the robot's LED state and reports whether the setting succeeded.
Use sphero-rvr-mcp to read the Sphero RVR's current sensor data and battery level.
Returns available sensor readings and the current battery status.
Developers, researchers, or students can have an AI assistant send movement, turning, and stop commands through MCP to quickly test basic Sphero RVR behaviors.
During demos or debugging, users can control the RVR's LED colors or states to represent standby, in-progress, or alert signals.
When users need the robot's current status, an AI assistant can use this tool to read sensor information and battery level for basic device monitoring.
Based on the description, it supports controlling Sphero RVR movement, LEDs, sensor access, and battery monitoring through the MCP protocol.
It is suitable for developers, researchers, and students who want AI assistants to connect to and control a robot device.
The provided material does not include installation steps, runtime details, or dependency information. See the source repository for exact prerequisites.
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