ROS-MCP-Server将大型语言模型（如Claude、GPT和Gemini）与机器人连接起来，实现双向通信，无需修改现有机器人源代码。

为什么是ROS-MCP？

• 无需更改机器人源代码 →只需将rosbridge节点添加到现有ROS设置中即可。
• 真正的双向通信 →大型语言模型既能控制机器人，也能观察机器人上发生的一切。
• 完整上下文 →发布和订阅主题，调用服务和动作，设置参数，读取传感器数据，实时监控机器人状态。
• 深度ROS理解 →引导LLM发现可用的主题、服务、动作及其类型（包括自定义的）——使其能够以正确的语法使用，无需手动配置。
• 支持任何基于开放MCP标准的MCP客户端→，支持Claude Code、Codex CLI、Gemini CLI、Claude Desktop、ChatGPT、Cursor等多种平台。
• 跨ROS版本运行 →兼容ROS 2（Jazzy、Humble等）和ROS 1发行版。

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🎥 实际案例

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🏭 示例 - 工业机器人末端执行器的AI代理诊断（视频）

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 rosbridge node 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.

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🎥 Examples in Action

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🏭 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.

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🤖 Example - Controlling “Wilson” with natural language (video)