What is WiseVision ROS2?

WiseVision ROS2 is a Python server implementing the Model Context Protocol (MCP) for ROS2, enabling seamless integration of AI agents into robotics systems.

What is the WiseVision Data Black Box?

It's an influxDB alternative to Rosbag2 used for storing historical ROS2 data, allowing for advanced analysis and debugging.

Do I need Docker to run WiseVision ROS2?

Yes, the server is designed to run inside a Docker container, ensuring consistent and isolated execution.

What are the key features of WiseVision ROS2?

It lists ROS2 topics/services, calls services with validation, subscribes to topics, publishes messages, and accesses data from the WiseVision Data Black Box.

How do I use WiseVision ROS2 with AI agents?

By using the MCP protocol, your AI agent can interact with the ROS2 environment, controlling robots and accessing sensor data via the provided API.

WiseVision Ros2

Name: WiseVision Ros2
Author: wise-vision

bywise-vision

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Developer Tools

Data Science & ML

Bridges AI agents into robotics by implementing Model Context Protocol (MCP) for ROS2.

WiseVision ROS2 MCP Server is a Python server designed to integrate AI agents with ROS2-based robotic systems. By implementing the Model Context Protocol (MCP), it enables seamless communication and control between AI models and robotic platforms. The server offers a suite of tools to interact with ROS2, including listing topics and services, calling services, subscribing to topics, publishing messages, and accessing data from the WiseVision Data Black Box. This facilitates the development of sophisticated AI-driven robotic applications.

Key Features

01Lists available ROS2 topics and services.

02Calls ROS2 services with input validation.

03Subscribes to ROS2 topics and collects messages with configurable limits.

04Publishes messages to ROS2 topics.

05Accesses messages from WiseVision Data Black Box for historical data analysis.

0611 GitHub stars

Use Cases

01Integrating AI agents with robotic arms for automated tasks.

02Developing autonomous navigation systems using AI-driven decision-making.

03Creating intelligent monitoring systems that analyze sensor data from robots in real-time.