ROS2 MCP
AI Skill Hub 强烈推荐：ROS2 MCP 是一款优质的MCP工具。AI 综合评分 8.0 分，在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案，这是一个值得深入了解的选择。
📚 深度解析
通过安装 ROS2 MCP，你的 AI 助手将获得额外的工具调用能力，可以用自然语言直接操控该工具的功能，无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置，永久增强"——配置完成后，每次与 AI 对话时都可以无缝调用这些工具。
在技术实现上，MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信，工具的功能以"工具列表"的形式暴露给 AI 模型，AI 可以按需调用。ROS2 MCP 提供了结构化的工具调用接口，使 AI 模型能够精确地理解和使用每个功能点，显著降低 AI 在工具使用上的错误率。
与传统的 API 集成相比，MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON，即可让 AI 获得全新能力。AI Skill Hub 将 ROS2 MCP 评为 AI 评分 8.0 分，属于同类工具中的优质选择。
📋 工具概览
ROS2 MCP 是一款遵循 MCP（Model Context Protocol）标准协议的 AI 工具扩展。通过 MCP 协议，它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务，实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用，都可以通过自然语言在 AI 对话中直接触发，极大提升生产效率。
📖 中文文档
ROS2 MCP 是一款遵循 MCP（Model Context Protocol）标准协议的 AI 工具扩展。通过 MCP 协议，它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务，实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用，都可以通过自然语言在 AI 对话中直接触发，极大提升生产效率。
- 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
- 提供结构化工具调用接口，显著降低 AI 集成复杂度
- 支持 Claude Desktop 和 Claude Code 无缝接入，开箱即用
- 可与其他 MCP 工具组合叠加，构建完整 AI 工作站
- 轻量无侵入设计，不影响现有系统架构
- 在 Claude Desktop 对话中直接调用本地工具，实现 AI 与系统的深度联动
- 通过自然语言驱动复杂的多步骤自动化任务，代替繁琐手动操作
- 将多个 MCP 工具组合使用，构建个人专属 AI 工作站
# 方式一：通过 Claude Code CLI 一键安装
claude skill install https://github.com/wise-vision/ros2_mcp
# 方式二：手动配置 claude_desktop_config.json
{
"mcpServers": {
"ros2-mcp": {
"command": "npx",
"args": ["-y", "ros2_mcp"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
- 确认已安装 Node.js（v18 或以上版本）
- 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
- 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
- 保存配置文件并重启 Claude 客户端
- 重启后，在对话中即可使用本工具
# 安装后在 Claude 对话中直接使用 # 示例： 用户: 请帮我用 ROS2 MCP 执行以下任务... Claude: [自动调用 ROS2 MCP MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入："列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"ros2_mcp": {
"command": "npx",
"args": ["-y", "ros2_mcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
ROS2 MCP
ROS2 MCP is an open-source (MPL-2.0) Model Context Protocol server that lets AI agents (Claude, Cursor, Codex and any other MCP client) list, subscribe to, publish on and call ROS 2 topics, services and actions on a live robot. It talks to ROS 2 directly through rclpy: no rosbridge, no changes to your robots. Transports: stdio (default), Streamable HTTP and SSE (deprecated by the MCP spec).
Every tool is free and open source. Commercial support is available if you want help putting it on a real machine.
⚡ Quickstart (30 seconds, Docker)
You need Docker and an MCP client. ROS 2 itself does not have to be installed: the image contains it.
```bash
⚙️ Installation
Follow the installation guide for step-by-step instructions: - 🧩 Install in Visual Studio Code Copilot - 🤖 Install in Claude Desktop - 💻 Install in Warp - 🐳 Build Docker Image locally
🧭 DDS discovery warm-up (Docker)
If the first tool call returns an incomplete list of topics/services right after container start, DDS discovery may still be in progress. The server performs a one-time warm-up on the first tool call in container environments; tune it via:
MCP_ROS_DISCOVERY_STABLE_SEC(default:1.0)MCP_ROS_DISCOVERY_TIMEOUT_SEC(default:5.0)MCP_ROS_DISCOVERY_WARMUP=falseto disable
📘 Want to create a custom prompt? [Check the guide here](docs/CREATE_PROMPT.md)
🌍 Real-world example
Want to try it in simulation? See the Gazebo drone demo.
🎬 Demos
🏢 Commercial support & integration
ROS2 MCP is free software under the MPL-2.0: you can use it in a commercial product without asking us. Nothing in this section changes that.
If you are putting it on a real robot or fleet and want more than the public issue tracker, WiseVision (the maintainers) can help with:
- Integration support: getting the server running against your stack, your message types and your QoS constraints.
- Custom tools and prompts: handlers for your own interfaces, beyond the built-in topic, service and action set.
- Priority fixes: a defect that blocks your deployment, handled on a schedule instead of a backlog.
How to reach us: use the form at wisevision.tech/contact (choose ROS2 MCP on a real fleet) or write to hello@wisevision.tech. Tell us the problem first: what robot, what stack, what is blocking you. We scope and quote per project; there is no price list, so please contact us. Questions that other users could learn from belong in Discussions or issues.
Want to see it on real data first? The forklift rosbag demo replays a warehouse forklift recording and walks through three MCP calls in about ten minutes.
🆚 How it compares
Other open-source ROS MCP servers exist. They make different trade-offs; pick by what you need. Facts below were read from each project's README, pyproject.toml and GitHub page on 2026-10-14.
| **ROS2 MCP** (this repo) | [robotmcp/ros-mcp-server](https://github.com/robotmcp/ros-mcp-server) | [LCAS/ros2_mcp](https://github.com/LCAS/ros2_mcp) | |
|---|---|---|---|
| How it reaches ROS | rclpy, directly on the ROS 2 graph (runs where ROS 2 is sourced, or in the Docker image) | rosbridge WebSocket; the MCP server can run on a different machine from the robot | ROS 2 package built in your colcon workspace |
| ROS versions | ROS 2 Humble, Jazzy | ROS 1 and ROS 2 | ROS 2 Humble, Iron, Jazzy (per its README) |
| Install | Docker image wisevision/ros2_mcp, or uvx/uv from git | uvx ros-mcp (on PyPI) | git clone, rosdep, colcon build; Docker Compose with an SSE endpoint |
| Transports | stdio, Streamable HTTP, SSE | stdio, http, streamable-http (--transport) | SSE endpoint documented |
| Read-only mode | Yes: mutating tools are not registered, and a test enforces the classification | No such switch found in its code; tools carry the MCP readOnlyHint annotation | Its README lists observation features only |
| Publish / services / actions | Yes, including goal, result, feedback, status and cancel | Yes (topics, services and actions tools) | Not listed in its README |
| Nodes and parameters | **No** dedicated tools yet | Yes (node and parameter tools) | Node listing |
| Images and maps | Image topics as PNG, occupancy-grid map, point-cloud bird's-eye view | Image tool | Image retrieval for VLM analysis |
| License | MPL-2.0 | Apache-2.0 | Apache-2.0 |
| GitHub stars | 90 | 1,493 | 9 |
When to pick another one: you need ROS 1, node or parameter tools, or you want the MCP server off the robot with only rosbridge exposed there: use robotmcp/ros-mcp-server. We do not claim to be better on every axis. What we offer: native rclpy access (no bridge process between the agent and DDS), a read-only mode that fails closed (a tool is registered in that mode only if it was explicitly reviewed as read-only, and a test fails when a new tool is unclassified), images, maps and point clouds returned as PNGs, the complete action lifecycle (goal, result, feedback, status, cancel), and commercial support if you need it. Something here is wrong or out of date? Open an issue and we will fix it.
一个开源的MCP工具，实现ROS2与AI代理的桥接，具有较高的潜力
⚡ 核心功能
- 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
- 提供结构化工具调用接口，显著降低 AI 集成复杂度
- 支持 Claude Desktop 和 Claude Code 无缝接入，开箱即用
- 可与其他 MCP 工具组合叠加，构建完整 AI 工作站
- 轻量无侵入设计，不影响现有系统架构
👥 适合人群
🎯 使用场景
- 在 Claude Desktop 对话中直接调用本地工具，实现 AI 与系统的深度联动
- 通过自然语言驱动复杂的多步骤自动化任务，代替繁琐手动操作
- 将多个 MCP 工具组合使用，构建个人专属 AI 工作站
⚖️ 优点与不足
- +MPL-2.0 协议，可免费商用
- +标准化 MCP 协议，生态互联性强
- +与 Claude 官方生态无缝对接
- +即插即用，配置简单快捷
- −依赖 Claude 客户端，非 Claude 用户无法使用
- −MCP 协议仍在持续演进，接口可能变更
- −需要一定的配置步骤
AI Skill Hub 为第三方内容聚合平台，本页面信息基于公开数据整理，不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后，再部署至生产环境，并做好必要的安全评估。
✅ MPL 2.0 — 文件级 Copyleft，修改的文件需开源，但可与闭源代码结合使用。
❓ 常见问题 FAQ
总体来看，ROS2 MCP 是一款质量优秀的MCP工具，在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态，建议收藏备用，结合自身场景选择合适时机引入使用。
| 原始名称 | ros2_mcp |
| 原始描述 | 开源MCP工具：Advanced MCP Server ROS 2 bridging AI agents straight into robotics。⭐83 · Python |
| Topics | aimcpros2python |
| GitHub | https://github.com/wise-vision/ros2_mcp |
| License | MPL-2.0 |
| 语言 | Python |
收录时间：2026-07-13 · 更新时间：2026-07-13 · License：MPL-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。