# CO2 Sensor MCP Server

> CO2 Sensor MCP Server — kmwebnet-mcp-server-for-sensor-device. Use this tool when you need to monitor and manage CO2 sensor data, either in simulation mode or with real hardware connections, to track carbon dioxide levels and make data-driven decisions. It provides a JSON-RPC interface for seamless interaction with the sensor data, solving problems related to environmental monitoring and air quality control. Ideal for applications requiring real-time CO2 level tracking, such as smart buildings or industrial automation systems.

Canonical page: https://skillsregistry.net/skills/kmwebnet-mcp-server-for-sensor-device  
JSON: https://api.skillsregistry.net/v1/skills/kmwebnet-mcp-server-for-sensor-device

## Description

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hs4trgkn73)
- **Repository:** <https://github.com/cyberomusubi/MCP-Server-for-sensor-device>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kmwebnet-mcp-server-for-sensor-device"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kmwebnet-mcp-server-for-sensor-device` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kmwebnet-mcp-server-for-sensor-device/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt