# aranet4-mcp-server

> Use this tool when you need to manage and monitor CO2 levels using your Aranet4 sensor, as it enables data fetching, historical querying, and plotting. It solves problems related to indoor air quality monitoring, providing real-time and historical data for informed decision-making. The tool accepts sensor data as input and outputs visualized plots and query results, making it ideal for applications requiring precise CO2 level tracking.

Canonical page: https://skillsregistry.net/skills/diegobit-aranet4-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/diegobit-aranet4-mcp-server

## Description

MCP server to manage your Aranet4 CO2 sensor, enabling scanning, data fetching, historical querying, and plotting.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ufhf8rn2cy)
- **Repository:** <https://github.com/diegobit/aranet4-mcp-server>

## 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": "diegobit-aranet4-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/diegobit-aranet4-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/diegobit-aranet4-mcp-server/pull`

---
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