**Chotu Robo Server - MCP Server for Arduino **

WHAT IT CONNECTS

What **Chotu Robo Server - MCP Server for Arduino ** gives an AI Agent

• **LED Control**: Blink an LED for a given duration.
• **Buzzer Control**: Sound a buzzer for a specified time.
• **Motor Control**: Run a motor at a certain speed for a set time.
• **Servo Control**: Move a servo motor to a specific angle.
• **Fan Control**: Turn a fan on/off.
• **Relay Control**: Switch a relay on or off.
• **Sensor Readings**:
• Read **temperature** from a sensor.
• Measure **distance** using an ultrasonic sensor.
• **AI-powered Commands**: Control the robot using AI-based prompts for actions like moving, starting, stopping, turning, and adjusting speed.
• **NodeMCU ESP32** or **Arduino Nano 368**: Microcontrollers responsible for controlling the hardware and communicating with the server.
• **Johnny-Five**: The JavaScript robotics and IoT library to interact with the hardware components.
• **MCP Framework**: The Model Context Protocol framework to handle requests and interactions with external systems, enabling AI-based communication.
• **Sensors & Actuators**:
• **LED** (for indicating status)
• **Buzzer**
• **Servo Motor**
• **Motor**
• **Relay Module**
• **Ultrasonic Distance Sensor**
• **Temperature Sensor**
• **Setup**:
• The **NodeMCU ESP32** or **Arduino Nano 368** board is connected to various sensors and actuators (LEDs, motors, etc.).
• The **Johnny-Five** library allows the server to control hardware components through the microcontroller.
• **MCP Integration**:
• The **McpServer** manages communication between the hardware and AI.
• The server provides several **tools** (commands) such as `blinkLED`, `buzz`, `runMotor`, `moveServo`, and more.
• Each tool is associated with a specific function, and the server waits for commands from the AI system to execute those actions.
• **AI Control**:
• **AI Prompts** are used to trigger actions like moving the robot (`move-chotu`), controlling speed (`set-chotu-speed`), and turning the robot (`turn-chotu`).
• The AI uses **Claude** or other AI assistants to send commands to the server. The server processes these commands and interacts with the hardware accordingly.
• **Real-Time Communication**:
• **StdioServerTransport** ensures the server can connect to external AI systems and execute commands in real-time.
• **User Commands**:
• The AI can send user-friendly commands like **"turn Chotu left"** or **"set speed to 5"** to control the robot's behavior.
• **`blinkLED`**: Blink the LED for a specified time.
• **`buzz`**: Activate the buzzer for a certain duration.
• **`runMotor`**: Start the motor at a given speed for a set period.
• **`moveServo`**: Move the servo motor to a specified angle.
• **`controlFan`**: Turn the fan on or off.
• **`toggleRelay`**: Switch a relay module on or off.
• **`readTemperature`**: Get the current temperature reading.
• **`readDistance`**: Measure the distance using the ultrasonic sensor.
• **`move-chotu`**: Move Chotu in specific steps (via AI prompt).
• **`start-chotu`**: Start Chotu and get ready to operate.
• **`stop-chotu`**: Stop Chotu and shut down operations.
• **`turn-chotu`**: Turn Chotu to a specified direction (left or right).
• **`set-chotu-speed`**: Set the speed for Chotu.
• **Hardware**:
• **NodeMCU ESP32** or **Arduino Nano 368** (or any supported Arduino/ESP32 board).
• Various sensors and actuators (LED, servo, motor, ultrasonic sensor, temperature sensor, relay).
• **Software**:
• Install **Node.js**.
• Install **Johnny-Five** for hardware control.
• Use the **MCP SDK** to integrate with AI.
• Use the **Arduino IDE** to program the microcontroller.
• Install **Node.js** and **Johnny-Five**:
• **Adding more sensors** like cameras or microphones.
• **Integrating advanced AI models** for better decision-making.
• **Developing a mobile app or web interface** to control the robot via a graphical interface.
• **Using a Raspberry Pi**:
• **Setup**: Use a Raspberry Pi to run the MCP server and control the hardware components.
• **Installation**:
• **Connecting to Java-based Server**:
• **Java Server Setup**: Create a Java-based MCP server to handle requests and communicate with the Raspberry Pi.
• **Java Code Example**:
• **Running the Server**:
• **Connecting Raspberry Pi to Java Server**:
• Ensure the Raspberry Pi and Java server are on the same network.
• Use WebSocket or REST API to send commands from the Java server to the Raspberry Pi.
• Example command from Java server to Raspberry Pi: