# Gazebo MCP Server

> Use this tool when you need to control and interact with robot simulations, such as spawning and manipulating robots in virtual environments. It solves problems related to robotics development, testing, and training by providing a programmatic interface to access sensor data and manage simulation state. The Gazebo MCP Server takes ROS2 commands as input and outputs simulation data, making it ideal for use cases involving autonomous robot development and simulation-based training.

Canonical page: https://skillsregistry.net/skills/kvgork-gazebo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kvgork-gazebo-mcp

## Description

Enables AI assistants to control Gazebo robot simulations through ROS2, including spawning robots (TurtleBot3), manipulating environments, accessing sensor data (camera, LiDAR, IMU), and managing simulation state.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b4icjumfvd)
- **Repository:** <https://github.com/kvgork/gazebo-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": "kvgork-gazebo-mcp"
    }
  }
}
```

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

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