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Create, run, and replay autonomous driving scenarios in CARLA using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CarlaMCP" yet — see the docs or source repo.
Create an autonomous driving test scenario in CARLA: daytime, clear weather, a four-way intersection, one ego vehicle going straight, two traffic vehicles turning left and right, and one pedestrian crossing the road. Validate the scenario parameters, run the simulation, and save a replayable record.
A validated CARLA scenario configuration, executed simulation, and a replayable result.
Generate an emergency braking regression test in CARLA: the ego vehicle travels at 40 km/h, and a lead vehicle suddenly brakes 25 meters ahead. Check that actors, speeds, and distances are valid, run it 5 times, and save a replay for each run.
A valid test scenario definition, batch execution results, and five replay records.
Help me reproduce a high-risk lane-change scenario in CARLA: a two-lane highway, the ego vehicle is preparing to change lanes, and a faster rear vehicle is rapidly approaching. Generate the scenario, validate the primitive configuration, run the simulation, and provide a replay for review.
An executable lane-change simulation scenario with validation, execution, and replay output.
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