Robot Control Service

what is Robot Control Service? Robot Control Service is a Model Context Protocol (MCP) service designed to control a robot arm equipped with a servo motor, which plays an audio clip when the servo moves. how to use Robot Control Service? To use the Robot Control Service, connect an Arduino board via USB, attach a servo motor to pin 10, and run the service using Node.js. The service exposes an MCP tool called moveMyServo that accepts a degrees parameter (0-180) to control the servo position. key features of Robot Control Service? Control a servo motor with precise angle adjustments. Play audio clips in response to servo movements. Easy integration with Arduino and JavaScript robotics frameworks. use cases of Robot Control Service? Automating robotic arms for educational purposes. Creating interactive installations that respond to user inputs. Developing prototypes for robotics projects. FAQ from Robot Control Service? What are the requirements to run the Robot Control Service? You need Node.js, an Arduino or compatible board, a servo motor connected to pin 10, and a speaker for audio output. How do I install the Robot Control Service? You can install it by running npm install in your project directory. Can I use this service with other types of motors? The service is specifically designed for servo motors, but you can modify the code to work with other motor types.

As an MCP (Model Context Protocol) server, Robot Control Service enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Robot Control Service, connect an Arduino board via USB, attach a servo motor to pin 10, and run the service using Node.js. The service exposes an MCP tool called moveMyServo that accepts a degrees parameter (0-180) to control the servo position. key features of Robot Control Service? Control a servo motor with precise angle adjustments. Play audio clips in response to servo movements. Easy integration with Arduino and JavaScript robotics frameworks. use cases of Robot Control Service? Automating robotic arms for educational purposes. Creating interactive installations that respond to user inputs. Developing prototypes for robotics projects. FAQ from Robot Control Service? What are the requirements to run the Robot Control Service? You need Node.js, an Arduino or compatible board, a servo motor connected to pin 10, and a speaker for audio output. How do I install the Robot Control Service? You can install it by running npm install in your project directory. Can I use this service with other types of motors? The service is specifically designed for servo motors, but you can modify the code to work with other motor types.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.