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by lpigeon • IoT & Embedded
Bridges large language models and ROS/ROS2 robots to enable bidirectional natural-language control and observation.
Command robots in natural language by translating instructions into ROS/ROS2 topic publishes and service calls.
Real-time visibility into a robot's sensors, topics, and parameters to reason about state or monitor telemetry.
Explore and debug custom ROS message and service types, call services, and adjust parameters without modifying robot code.
The ROS MCP Server connects LLMs (e.g., Claude, GPT, Gemini) to existing robots via rosbridge, allowing natural-language instructions to be translated into ROS topics, services, and parameters and enabling LLMs to subscribe to sensor data and robot state in real time. It requires no changes to robot source code, supports both ROS1 and ROS2 out of the box, and is MCP-compatible for use with MCP-enabled clients. Typical uses include commanding robots from an LLM, streaming telemetry and camera data to an agent, and debugging or testing robots by exposing topics and services for inspection and invocation.
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