# rviz-mcp

> rviz-mcp — mergeos-bounties-rviz-mcp. Use this tool when you need to control RViz2 displays and manage views for AI agents, enabling them to interact with 3D environments and simulate user interactions. It accepts inputs such as display configurations and view settings, and produces outputs like controlled views and frames.

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

## Description

MCP server enabling AI agents to control RViz2 displays, fixed frames, and views, with offline mock support for CI and 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/k3tobcc1fb)
- **Repository:** <https://github.com/mergeos-bounties/rviz-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-rviz-mcp"
    }
  }
}
```

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