rosroboticsnatural-languagemcpdeveloper-tools
Bridges large language models to ROS/ROS2 robots for bidirectional natural language control and observation.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for lpigeon/ros-mcp-server, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Overview
Use cases
Convert natural language commands into ROS/ROS2 control commands
Monitor robot state and sensor data in real time
Enable AI agents to discover and use custom ROS topics and services
Control simulated or physical robots via natural language
Diagnose and test industrial robots using LLMs
Key features
Supports ROS and ROS2 (multiple distros)
No robot source code changes required
Full bidirectional communication with robot
Automatic discovery of topics, services, actions, and types
Compatible with any MCP client
Open source under Apache 2.0 license
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Ros MCP Server.
Extracted Tool Capabilities
Supports ROS and ROS2 (multiple distros)
No robot source code changes required
Full bidirectional communication with robot
Automatic discovery of topics, services, actions, and types
Compatible with any MCP client
Open source under Apache 2.0 license
Documentation Overview
ROS MCP Server 🧠⇄🤖
ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) to robots, enabling bidirectional communication with no changes to existing robot source code.
Why ROS-MCP?
- No robot source code changes → just add the
rosbridgenode to your existing ROS setup. - True two-way communication → LLMs can both control robots and observe everything happening on the Robot.
- Full context → publish & subscribe to topics, call services & actions, set parameters, read sensor data, and monitor robot state in real time.
- Deep ROS understanding → guides the LLM to discover available topics, services, actions, and their types (including custom ones) — enabling it to use them with the right syntax without manual configuration.
- Works with any MCP client → built on the open MCP standard, supporting Claude Code, Codex CLI, Gemini CLI, Claude Desktop, ChatGPT, Cursor, and more.
- Works across ROS versions → compatible across ROS 2 (Jazzy, Humble, and others) and ROS 1 distros.
🎥 Examples in Action
🏭 Example - AI Agent diagnosis of Industrial Robot End Effector (Video)
- The MCP server connects Claude to a production industrial robot, with only the technician manuals as reference.
- Claude discovers the robot's custom topic and service types and their syntax on its own.
- From a single prompt to test the gripper, it reads the manuals, runs its own tests, finds an anomaly, and reports the root cause.
🤖 Example - Controlling "Wilson" with natural language (video)
From a single prompt — "Grab a Coke from the fridge & go to the living room." — Google Gemini uses the MCP server to navigate and manipulate autonomously. Built on ROS 2 with Nav2 (SLAM) for mapping and navigation, and MoveIt to command the manipulator.
🐕 Example - Controlling Unitree Go2 in NVIDIA Isaac Sim (video)
The MCP server connects Claude to a simulated Unitree Go2 quadruped in NVIDIA Isaac Sim, interpreting natural language commands to navigate and control the robot.
🛠 Getting Started
Follow the installation guide to get started.
ROS-MCP works with Claude Code, Codex CLI, Gemini CLI, Claude Desktop, ChatGPT, Cursor, or any MCP-compatible client.
📚 More Examples & Tutorials
Browse our examples to see the server in action.
We welcome community PRs with new examples and integrations!
🤝 Contributing
We love contributions of all kinds:
- Bug fixes and documentation updates
- New features (e.g., Action support, permissions)
- Additional examples and tutorials
Check out the contributing guidelines and see issues tagged good first issue to get started.
📜 License
This project is licensed under the Apache License 2.0.
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GitHub stars
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Last commit
2d ago
Most recent push to the default branch.
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