WiseVision ROS 2 MCP Server

Example Use Cases

• 1

  Discover available ROS 2 topics and services and inspect message/service field types dynamically.

• 2

  Publish to or subscribe from ROS 2 topics and collect or replay sensor data for analysis or debugging.

• 3

  Call ROS 2 services, run QoS-safe interactions, and get AI-assisted debugging and issue diagnosis in real time.

Description

A lightweight, easy-to-configure Python implementation of the Model Context Protocol (MCP) for ROS 2 that exposes topics, services, and message schemas over stdio. It provides auto type discovery (including nested fields), automatic QoS selection, publish/subscribe and service-call tooling, and a built-in data black box interface. Designed for minimal setup (stdio transport, Docker support) so AI clients can control robots, analyze sensor data, and debug ROS 2 systems without ROS expertise. Actively maintained by the Wise Vision project and optimized for integration with MCP clients like VS Code Copilot and other agents.