MCP Server for Sensors: Real-Time CO2 Monitoring & JSON-RPC Control

Key Features of MCP Server for Sensors: Real-Time CO2 Monitoring & JSON-RPC Control?

• **Dual Personality Mode:** Flip between pretending to measure CO2 and actually doing it with a Raspberry Pi Pico.
• **JSON-RPC Superpowers:** Query device info, sensor data, and network status like a sysadmin extraordinaire.
• **Mocked but Meticulous:** Reconnect Wi-Fi? Publish to MQTT? It’ll pretend to do it—perfect for testing without the drama.
• **Log Everything:** Your CO2 levels are now a detective novel in `co2_level.log`.

Use Cases of MCP Server for Sensors: Real-Time CO2 Monitoring & JSON-RPC Control?

Need a reason to use this? Here you go:

• **Office Overlord:** Keep your coworkers from suffocating by monitoring conference room air quality.
• **Smart Home Nerd:** Automate your HVAC with real-time CO2 data (or fake it until you make it).
• **Lab Rat:** Test IoT workflows without buying 10 sensors (simulated mode = budget-friendly).
• **Industrial Spy:** Track factory emissions (or blame the system when it says the air is “fine”).

FAQ: MCP Server for Sensors

Q: Do I need a Raspberry Pi Pico?
A: Only if you want real data. Simulation mode works with just your computer and a healthy imagination.

Q: Where’s the secret sauce?
A: In `co2_level.log`—check your project folder. It’s basically the server’s diary.

Q: Can I trust the mocked features?
A: They’re 100% reliable if your definition of “reliable” is “consistent fiction.”

Q: Why JSON-RPC?
A: Because REST was too easy, and SOAP was too soapy.

MCP Server for sensor device

This project is a Node.js application designed for use with Claude Desktop. It simulates a CO2 sensor device and provides a JSON-RPC server to interact with the device. The application can run in both simulation mode and real mode, where it connects to a Raspberry Pi Pico via USB to read CO2 levels.

Features

• Simulates a CO2 sensor device with random CO2 levels in simulation mode.
• Connects to a Raspberry Pi Pico via USB to read real CO2 levels.
• Provides device information, sensor data, and network status via JSON-RPC.
• Supports commands to publish data to MQTT, reconnect WiFi, and reconnect MQTT (some functionalities are mocked).

Installation

You need to have Node.js installed on your machine to run this application. If you don't have Node.js installed, you can download it from the official website.

1. Clone the repository.

2. Install the dependencies using npm:

   npm install

Configuration

Ensure that the claude_desktop_config.json file is correctly configured to run the server. Example configuration:

{
  "mcpServers": {
    "CO2 sensor": {
      "command": "node",
      "args": [
        "...mcp-server-for-sensor-device/index.js"
      ],
      "env": {}
    }
  }
}

Usage

To start the server, run the following command:

node index.js

JSON-RPC Methods

initialize

Initializes the server and returns server capabilities.

shutdown

Shuts down the server.

resources/list

Lists available resources.

resources/read

Reads the specified resource.

tools/list

Lists available tools.

tools/call

Calls the specified tool.

DeviceState Class

The DeviceState class simulates the device state and provides methods to get device information, sensor data, and network status. It also handles the connection to the Raspberry Pi Pico and reads CO2 levels.

Methods

• getDeviceInfo(): Returns device information.
• getSensorData(): Returns sensor data.
• getNetworkStatus(): Returns network status (mocked functionality).
• publishToMQTT(): Simulates publishing data to MQTT (mocked functionality).
• reconnectWiFi(): Simulates reconnecting to WiFi (mocked functionality).
• reconnectMQTT(): Simulates reconnecting to MQTT (mocked functionality).

Logging

The application logs CO2 levels and other information to a log file located in the user's home directory (co2_level.log).

License

This project is licensed under the MIT License.