# ROS & LLM Integration Bridge

> ROS & LLM Integration Bridge — ankit-paliwal-mcp-server-for-ros. Use this tool when you need to integrate large language models with ROS robots, enabling natural language control and real-time sensor monitoring. It solves problems of complex robot programming and autonomous task execution, allowing for seamless interaction between AI models and robots. The bridge accepts natural language inputs and outputs robot control commands and sensor data, ideal for use cases requiring voice-controlled robotics or automated task management.

Canonical page: https://skillsregistry.net/skills/ankit-paliwal-mcp-server-for-ros  
JSON: https://api.skillsregistry.net/v1/skills/ankit-paliwal-mcp-server-for-ros

## Description

Enables large language models to interact with ROS robots seamlessly, allowing natural language control, real-time sensor monitoring, and autonomous task execution without modifying existing robot code.

## 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:** iot-hardware
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cd3wzkc8e2)
- **Repository:** <https://github.com/Ankit-Paliwal/MCP-SERVER-FOR-ROS>

## 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": "ankit-paliwal-mcp-server-for-ros"
    }
  }
}
```

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

---
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