ROS MCP Server

ROS MCP Server

Facilitates robotic movement control by providing functions that enable precise manipulation of linear and angular velocities through natural language commands, compatible with both ROS and ROS2.

Category
Visit Server

Tools

pub_twist

pub_twist_seq

README

Overview

Static Badge Static Badge smithery badge Static Badge

<center><img src="https://github.com/lpigeon/ros-mcp-server/blob/main/img/framework.png"/></center>

The ROS MCP Server is designed to support robots in performing complex tasks and adapting effectively to various environments by providing a set of functions that transform natural language commands, entered by a user through an LLM, into ROS commands for robot control. Furthermore, by utilizing rosbridge, it is configured to operate with both ROS and ROS2 systems, and its WebSocket-based communication enables broad applicability across diverse platforms.

The currently supported message type is:

  • geometry_msgs/Twist

Installation

Installing via Smithery

To install ros-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @lpigeon/ros-mcp-server --client claude

Installing Locally

uv Installation

  • To install uv, you can use the following command:
curl -LsSf https://astral.sh/uv/install.sh | sh

or

pip install uv
  • Create virtual environment and activate it (Optional)
uv venv
source .venv/bin/activate

MCP Server Configuration

Set MCP setting to mcp.json.

"ros-mcp-server": {
  "command": "uv",
  "args": [
    "--directory",
    "/ABSOLUTE/PATH/TO/PARENT/FOLDER/ros-mcp-server",,
    "run",
    "server.py"
  ]
}

MCP Functions

pub_twist

  • Purpose: Sends movement commands to the robot by setting linear and angular velocities.
  • Parameters:
    • linear: Linear velocity (List[Any])
    • angular: Angular velocity (List[Any])

pub_twist_seq

  • Purpose: Sends a sequence of movement commands to the robot, allowing for multi-step motion control.
  • Parameters:
    • linear: List of linear velocities (List[Any])
    • angular: List of angular velocities (List[Any])
    • duration: List of durations for each step (List[Any])

How To Use

1. Set IP and Port to connect rosbridge.

  • Open server.py and change your LOCAL_IP, ROSBRIDGE_IP and ROSBRIDGE_PORT. (ROSBRIDGE_PORT's default value is 9090)

2. Run rosbridge server.

ROS 1

roslaunch rosbridge_server rosbridge_websocket.launch

ROS 2

ros2 launch rosbridge_server rosbridge_websocket_launch.xml

3. Run any AI system that has imported ros-mcp-server.

4. Type "Make the robot move forward.".

<center><img src="https://github.com/lpigeon/ros-mcp-server/blob/main/img/how_to_use_1.png" width="500"/></center>

5. Check rosbridge_server and ros topic.

  • rosbridge_server <center><img src="https://github.com/lpigeon/ros-mcp-server/blob/main/img/how_to_use_2.png" /></center>

  • ros topic <center><img src="https://github.com/lpigeon/ros-mcp-server/blob/main/img/how_to_use_3.png" /></center>

Simulation Test

MCP-based control using the MOCA mobile manipulator within the NVIDIA Isaac Sim simulation environment.

<center><img src="https://github.com/lpigeon/ros-mcp-server/blob/main/img/result.gif" /></center>

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured