ROS & LLM Integration Bridge
AI & Memory
Local
Enables large language models to interact with ROS robots seamlessly, allowing natural language control, real-time sensor monitoring, and autonomous task execution without modifying existing robot code.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/cd3wzkc8e2 for deploy options, or install from https://github.com/Ankit-Paliwal/MCP-SERVER-FOR-ROS (see README for MCP config).
2
GitHub
Install from https://github.com/Ankit-Paliwal/MCP-SERVER-FOR-ROS and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.