WiseVision ROS2 MCP Server
@wise-vision
WiseVision ROS2 MCP Server について
Advanced MCP Server ROS 2 bridging AI agents straight into robotics
基本情報
設定
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
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is WiseVision ROS2 MCP Server?
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.
How to use WiseVision ROS2 MCP Server?
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.
Key features of WiseVision ROS2 MCP Server
- 1-minute setup with world’s easiest ROS 2 MCP configuration.
- Zero-friction stdio transport, no brokers or webserver.
- Auto type discovery with built-in interface listing.
- Support for nested message fields and complex structures.
- Auto QoS selection for optimal communication performance.
- Ready-to-use Docker image for quick deployment.
Use cases of WiseVision ROS2 MCP Server
- Subscribe to a ROS2 topic, collect messages, and get statistical analysis.
- Relay messages between topics with optional transformations.
- Check if expected ROS2 topics and services are functioning.
- Compare two ROS2 topics and report field-by-field differences.
- Control robots and analyze live data through natural language queries.
FAQ from WiseVision ROS2 MCP Server
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.
What are the runtime dependencies?
ROS 2 (Humble or Jazzy), Python, and uv. Docker is optional but recommended for quick deployment.
How do I debug the server?
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.
Can I call services with custom message types?
Yes, but you must source the package that defines the custom type before starting the server.
Where does historical topic data come from?
The ros2_get_messages tool retrieves past messages from the WiseVision Data Black Box, an InfluxDB-based alternative to rosbag2.
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