by robotmcp · MCP Server · ★ 1.2k
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ROS MCP Server 🧠⇄🤖 ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) with existing robots giving them bidirectional AI integration. With no changes to existing robot source code, this enables: 🗣 Commanding the robot in natural language → instructions are translated into ROS/ROS2 commands. 👀 Giving AI full visibility → subscribe to topics, call services, read sensor data, and monitor robot state in real time. ✅ Key Benefits No robot code changes → only requires adding the node. True two-way communication → LLMs can both control robots and observe everything happening in ROS (sensors, topics, parameters). ROS1 & ROS2 support → works with bo
| Stars | 1,203 |
| Forks | 177 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 44.016/100 |
| Open Issues | 37 |
| Last Updated | 2026-05-05 |
| Created | 2025-04-11 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~9093k |
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ros-mcp-server is Connect AI models like Claude & GPT with robots using MCP and ROS.. It is categorized as a MCP Server with 1.2k GitHub stars.
ros-mcp-server is primarily written in Python. It covers topics such as mcp, mcp-server, modelcontextprotocol.
You can find installation instructions and usage details in the ros-mcp-server GitHub repository at github.com/robotmcp/ros-mcp-server. The project has 1.2k stars and 177 forks, indicating an active community.
ros-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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