# CarlaMCP

> Use this tool when you need to create and execute autonomous-vehicle scenarios in a simulated environment, and want to leverage natural language inputs to define and test complex driving scenarios. CarlaMCP solves problems related to autonomous vehicle testing and validation, providing a user-friendly interface for scenario creation and execution. It accepts natural language commands as input and outputs simulated scenario executions, making it ideal for use cases requiring rapid testing and validation of autonomous vehicle behaviors.

Canonical page: https://skillsregistry.net/skills/codebymov-carla-mcp  
JSON: https://api.skillsregistry.net/v1/skills/codebymov-carla-mcp

## Description

Enables natural language-driven creation and execution of autonomous-vehicle scenarios in the CARLA simulator, with validated primitives and replay support.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mx57hznyig)
- **Repository:** <https://github.com/codebymov/CARLA-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "codebymov-carla-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/codebymov-carla-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/codebymov-carla-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt