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Let AI inspect, control, and modify a running Webots simulation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Webots MCP" yet — see the docs or source repo.
Connect to the Webots MCP server, read the current simulation scene tree, identify the node for the mobile robot, and change the target object's color to red.
It returns the relevant scene-tree nodes and updates the specified object property.
Use Webots MCP to move the robot forward for 3 seconds, turn left, then capture the current viewport and summarize how the robot's position changed.
It executes the control commands, captures a viewport screenshot, and provides a brief status summary.
Run a code snippet through Webots MCP to read the current robot state and print key variables for debugging the control logic.
It runs the code and returns state data or debug output to help diagnose control issues.
Developers or researchers running robot simulations in Webots can have AI inspect the scene, control robots, and modify simulation content to find issues faster.
When you need to understand what is happening in a simulation, this MCP tool lets AI capture viewport screenshots and analyze them alongside the simulation structure.
Users can ask AI to directly edit the scene tree or execute code to make and validate quick changes in a running Webots simulation.
It is a full-access MCP server for the Webots robot simulator that lets AI assistants see, understand, and modify a running simulation.
Based on the description, it supports scene-tree inspection and editing, robot control, viewport screenshots, and arbitrary code execution.
From the name and description, you need the Webots robot simulator and a running simulation instance. For specific installation and configuration steps, see the source repository.
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