Ros2-MCP-Web-Portal

Ros2-MCP-Web-Portal

Enables natural language command control of robots via ROS2, with a web portal for real-time visualization and interaction.

Category
访问服务器

README

Overview

Static Badge Static Badge Static Badge Static Badge

flow diagram

The ROS MCP Server with Web Portal 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. not only that using this MCP Server I have created a web portal that makes it super easy to go through hundreds of topics and services without typing a single command and visualzie it for easy intuition, see live camera stream wth description from LLM and ability to control robots with Web-UI.

Demo

<img src="img/portal.gif" width="1500"/>

Supported Environment

  • Quadruped Simulation (successful testing on Isaac-sim+IsaacLab)
  • Real Quadruped (under development)
  • Humanoid Simulation + Real (In future)

1. MCP-Server Installation

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

Option A. Install Cursor

In cursor open settings and go to Tools & Integrations and then click Add Custom MCP. Then paste the code in section 2.1

cursor

Option B:

Install Claude Desktop (For Linux installation follow claude-desktop-debian). Run claude desktop and go to developer settings and click Add MCP Server. Then paste the code given in section 2.1

claude

MCP Config File

Paste the code in mcp.json file

{
  "mcpServers": {
    "ros-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/Go2_Isaac_ros2/ros-mcp-server",,
        "run",
        "server.py"
      ]
    }
  }
}

1.1 MCP Functions

You can find the list of functions in the MCPFUNCTIONS.md.

1.2 Launch Rosbridge Server

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)

Run rosbridge server.

ROS 1

roslaunch rosbridge_server rosbridge_websocket.launch   

ROS 2

ros2 launch rosbridge_server rosbridge_websocket_launch.xml   #if you dont have it install it with sudo apt command in linux

rosbridge server launch

Run main.py as per README.MD

Before running, make sure num_envs in sim.yaml has same value as NUM_ENVS in server.py

Type your instructions in chat

How to use

2 Launch Web Portal

To run web portal only prerequisite is step 3 (launch robsridge server). Other steps can be ignored

2.1 Activate the evironment

Assuming that you are running it with Isaac-simulation(support for real robot will be added later), First of all activate the same environment being used for running main.py program (isaaclab_env) as per README.MD

Note: If you want to create a new seperate environment for web portal then you need to install torch and numpy as well otherwise make sure you dont update/change them in existing environment or it will cause problems.

conda activate env_isaaclab #or activate your custom env
cd ~/Go2_Isaac_ros2/ros-mcp-server
pip install -r requirements_web_mcp.txt
python web_portal.py

Web_Portal

2.2 Changing Portal Settings

  • You can choose which services to run in portal by setting parameters to True/False in config.py
  • Button location might be different depending on screen size. You can adjust it in web_portal.py from line 90 onwards
  • To run the LLM description dont forget to add your API key in config.py or use Ollama for local hosting. To change prompt go to llm_describer.py
  • To add a new service make a new code such as lidar.py and initialize it in data_stream.py. From here all data needed for web_portal is acquired. All data is is gathered in data_stream class whose object is then called by web_portal.
  • By default an image is sent to LLM every 5 seconds for description update. You can change it in data_stream.py
  • If you want to use camera and controller for a different robot make sure you change the name of topics in config.py
  • To share Web-portal with many users across network, Checkout Gradio-Mcp-Server

3. Acknowledgement

MCP Control is based on ros-mcp-server (Note: my implementation has deviated quite a bit now)

LLM description inspiration from vlm-describer

7. Citation

@MISC{Suleman2025,
  author = "Muhammad Suleman",
  title = "Ros2-MCP-Web-Portal",
  year = "2025",
  url = "https://github.com/sallu-786/Ros2-MCP-Web-Portal",
  note = "Version 1.0.0"
}

8. Contact

sulemanmuhammad08@gmail.com

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选