ROS 2
Connects AI agents and tools with ROS 2 nodes, topics, and services via the Model Context Protocol (MCP) over stdio.
About
Designed to dramatically reduce development time for ROS 2 projects by offering native AI integration, this server implements the Model Context Protocol (MCP) in Python. It provides a zero-friction, 1-minute setup that allows AI tooling to seamlessly interact with ROS 2 nodes, topics, and services over stdio. Key capabilities include automatic type discovery for dynamic enumeration of interfaces, support for complex nested message structures, and intelligent QoS selection. This empowers developers to leverage AI for real-time debugging, smart data analysis, and natural language control of robots, even without deep ROS 2 expertise, streamlining development and enhancing productivity.
Key Features
- 1-minute, zero-friction setup via stdio transport
- Automatic type and interface discovery for topics and services
- AI-powered debugging and smart data analysis capabilities
- Support for complex nested ROS 2 message structures
- Dockerized deployment with automatic Quality of Service (QoS) selection
- 56 GitHub stars
Use Cases
- AI-assisted ROS 2 development and debugging
- Controlling robots via AI chat and natural language commands
- Analyzing live robot sensor data and swarm state
