ROS & LLM Integration Bridge
Allows natural language control of quadruped robots within the NVIDIA Isaac Sim simulation environment.
Provides bidirectional communication with Robot Operating System (ROS/ROS2) for robot control, sensor monitoring, topic publishing/subscribing, service calls, action executions, and parameter tuning.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ROS & LLM Integration BridgeTell the robot to navigate to the living room"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Empowering robots with Large Language Models for seamless, bidirectional communication.[cite: 1]
✨ Why Choose This Bridge?
🚫 Zero Modifications Required: Easily integrate the
rosbridgenode without altering your existing robot source code.[cite: 1]🔄 True Bidirectional Interaction: LLMs can both control the robot's actions and monitor its environment in real-time.[cite: 1]
🧠 Comprehensive Context Awareness: Gain full access to publish/subscribe topics, service calls, action executions, sensor readings, and parameter tuning.[cite: 1]
🔍 Intelligent Discovery: The system automatically guides the AI to understand available ROS topics, custom types, and services, ensuring flawless syntax execution.[cite: 1]
🌐 Universal Client Support: Built on the open MCP standard, making it fully compatible with Claude, Gemini, ChatGPT, Cursor, and Codex CLI.[cite: 1]
⚡ Cross-Version Compatibility: Works flawlessly across ROS 1 and ROS 2 distributions (including Jazzy and Humble).[cite: 1]
Related MCP server: ROS2 MCP Server
🎥 Action Showcases
🏭 1. Industrial Robot Diagnostics
Connects AI agents to production robots using only technical manuals as a reference. The AI autonomously discovers custom topic syntaxes, executes diagnostic tests (like vacuum/gripper tests), identifies anomalies, and reports the root cause.[cite: 1]
🗣️ 2. Natural Language Mobile Navigation
Command your mobile robots with simple phrases like, "Grab a Coke from the fridge & go to the living room." The AI utilizes Nav2 (SLAM) for mapping/navigation and MoveIt for manipulation, operating entirely autonomously.[cite: 1]
🐕 3. Simulated Quadruped Control (NVIDIA Isaac Sim)
Interpret natural language commands to navigate and control quadruped robots directly within the NVIDIA Isaac Sim environment.[cite: 1]
🚀 Getting Started
To start integrating LLMs with your ROS setup, please refer to our Installation Guide.[cite: 1]
This tool is ready to be paired with any MCP-compatible client, including Claude Desktop, Gemini CLI, ChatGPT, and Cursor.[cite: 1]
🤝 How to Contribute
We encourage community contributions to make this project even better:
🐛 Bug fixes and documentation improvements
✨ New features (e.g., advanced permissions, action support)
📖 Additional tutorials and real-world examples
Please review our Contributing Guidelines to get started.[cite: 1]
📜 Licensing
This software is released under the Apache License 2.0.[cite: 1]
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