What does this server do?
It connects AI tooling to ROS 2 by implementing the Model Context Protocol over stdio, allowing tools to list topics, publish/subscribe, call services, and manage actions.
@wise-vision
基本情報
Advanced MCP Server ROS 2 bridging AI agents straight into robotics
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp_server_ros_2": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"--directory",
"/path/to/ros2_mcp",
"run",
"mcp_ros_2_server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Python implementation of the Model Context Protocol (MCP) for ROS 2. It enables AI tooling to connect with ROS 2 nodes, topics, and services using the MCP standard over stdio. Designed for robotics developers, researchers, and students who want to leverage AI for faster development and debugging.
Install via Docker or from source using the provided installation guides for VS Code Copilot, Claude Desktop, and Warp. Configure your MCP client to run the server, then use the provided tools and prompts to interact with ROS 2 topics, services, and actions.
It connects AI tooling to ROS 2 by implementing the Model Context Protocol over stdio, allowing tools to list topics, publish/subscribe, call services, and manage actions.
ROS 2 (Humble or Jazzy), Python, and uv. Docker is optional but recommended for quick deployment.
Use the MCP Inspector via `npx @modelcontextprotocol/inspector uv --directory /path/to/ros2_mcp run mcp_ros_2_server` to launch a debugging URL in your browser.
Yes, but you must source the package that defines the custom type before starting the server.
The `ros2_get_messages` tool retrieves past messages from the WiseVision Data Black Box, an InfluxDB-based alternative to rosbag2.

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Model Context Protocol Servers
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