# gazebo-mcp

> gazebo-mcp — mergeos-bounties-gazebo-mcp. Use this tool when you need to simulate and control Gazebo environments for AI agent training and testing, or when requiring an offline mock mode for continuous integration and demo purposes. It provides a server interface for AI agents to drive simulations, accepting input commands and outputting simulation states. Ideal for robotics and autonomous system development, this tool streamlines simulation-based testing and validation.

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

## Description

MCP server for AI agents to drive Gazebo / gz-sim simulation, with offline mock mode for CI/demos.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f8sqxu3e3t)
- **Repository:** <https://github.com/mergeos-bounties/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": "mergeos-bounties-gazebo-mcp"
    }
  }
}
```

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