# ROS MCP Server

> Use this tool when you need to control ROS/ROS2 robots using natural language commands, enabling seamless interaction with robot systems without requiring code modifications. It solves problems of complex robot control by translating large language model (LLM) instructions into ROS topics and services. The ROS MCP Server accepts LLM instructions as input and outputs ROS-compatible commands, making it ideal for use cases requiring intuitive and platform-agnostic robot control.

Canonical page: https://skillsregistry.net/skills/moneypiaorui-ros-mcp-server-minipi  
JSON: https://api.skillsregistry.net/v1/skills/moneypiaorui-ros-mcp-server-minipi

## Description

Enables control of ROS/ROS2 robots through natural language commands by translating LLM instructions into ROS topics and services. Supports cross-platform WebSocket-based communication with existing robot systems without requiring code modifications.

## 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:** ai-ml
- **Updated:** 2026-05-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c3x6jcogz4)
- **Repository:** <https://github.com/moneypiaorui/ros-mcp-server-minipi>

## 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": "moneypiaorui-ros-mcp-server-minipi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/moneypiaorui-ros-mcp-server-minipi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/moneypiaorui-ros-mcp-server-minipi/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
