Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

MCP server for air-Q Cloud API — access air quality data from anywhere

README.md

mcp-airq-cloud

!MCP ![PyPI](https://pypi.org/project/mcp-airq-cloud/) ![Total Downloads](https://pepy.tech/project/mcp-airq-cloud) ![Python](https://pypi.org/project/mcp-airq-cloud/) ![License](LICENSE) ![Tests](https://github.com/CorantGmbH/mcp-airq-cloud/actions/workflows/tests.yml) ![Coverage](https://codecov.io/gh/CorantGmbH/mcp-airq-cloud)

MCP server for the air-Q Cloud API — access air quality data from anywhere.

Unlike mcp-airq (which communicates directly with devices on the local network), this server uses the air-Q Cloud REST API to retrieve sensor data remotely.

The same mcp-airq-cloud executable also works as a direct CLI when you pass a tool name as a subcommand.

<!-- mcp-name: io.github.CorantGmbH/mcp-airq-cloud -->

Tools

| Tool | Description | |------|-------------| | list_devices | List configured air-Q Cloud devices | | get_air_quality | Get latest sensor readings (supports device/location/group selection) | | get_air_quality_history | Get historical data within a time range as column-oriented JSON | | plot_air_quality_history | Render one historical chart per sensor across all matching devices | | export_air_quality_history | Export one historical sensor as one csv or xlsx across matching devices |

All tools are read-only — the Cloud API does not support device configuration or control.

Installation

pip install mcp-airq-cloud

Or install from source:

git clone https://github.com/CorantGmbH/mcp-airq-cloud.git
cd mcp-airq-cloud
uv sync --frozen --extra dev

CLI Usage

Use the same command directly from the shell:

mcp-airq-cloud list-devices
mcp-airq-cloud get-air-quality --device "Living Room"
mcp-airq-cloud get-air-quality-history --device "Living Room" --last-hours 24 --sensors co2 pm2_5
mcp-airq-cloud plot-air-quality-history --sensor co2 --output-format png --output co2.png
mcp-airq-cloud export-air-quality-history --sensor co2 --output-format xlsx --output co2.xlsx

For historical plots and exports:

  • omit device, location, and group to combine all configured devices into one artifact
  • use location or group to combine only the matching devices
  • plot_air_quality_history returns one file per requested sensor, with one series per matching device
  • export_air_quality_history returns one CSV/XLSX file per request, with rows for all matching devices

The CLI subcommands mirror the MCP tool names. Both styles work:

mcp-airq-cloud list-devices
mcp-airq-cloud list_devices

To force MCP server mode from an interactive terminal, run:

mcp-airq-cloud serve

The CLI is pipe-friendly: successful command output goes to stdout, while tool errors go to stderr with exit code 1. Plot commands can also stream directly to stdout.

mcp-airq-cloud get-air-quality --device "Living Room" | jq '.co2'
mcp-airq-cloud get-air-quality-history --device "Living Room" --compact-json | jq '.columns.co2'
mcp-airq-cloud get-air-quality-history --device "Living Room" --yaml | yq '.columns.co2'
mcp-airq-cloud plot-air-quality-history --sensor co2 --device "Living Room" --output - > co2.png
mcp-airq-cloud export-air-quality-history --sensor co2 --device "Living Room" --output - > co2.xlsx

Historical Data

Three tools provide access to historical sensor data via the air-Q Cloud API:

Plotting charts

plot_air_quality_history renders a chart for one sensor. When multiple devices match, each device becomes a separate series in the same chart.

!CO₂ area chart — single device

Single device (24 h, area chart, PNG)

!CO₂ area chart — multiple devices

Multiple devices at one location (24 h, area chart, PNG)

# Single device, last 24 hours (default), PNG output (default)
mcp-airq-cloud plot-air-quality-history --sensor co2 --device "Living Room"

# All devices at a location, custom time range, SVG output
mcp-airq-cloud plot-air-quality-history --sensor co2 --location "Living Room" \
  --from-datetime "2026-03-16T00:00:00" --to-datetime "2026-03-17T00:00:00" \
  --output-format svg --output co2.svg

# All configured devices, dark mode, line chart
mcp-airq-cloud plot-air-quality-history --sensor co2 --dark --chart-type line

# Save to file
mcp-airq-cloud plot-air-quality-history --sensor co2 --output co2_chart.png

Output formats: png (default), webp, svg, html (interactive Plotly chart with hover tooltips and zoom)

Customization: --title, --x-axis-title, --y-axis-title, --chart-type (line/area), --dark, --timezone-name

Exporting data

export_air_quality_history produces one CSV or Excel file containing all matching devices.

# CSV export (default)
mcp-airq-cloud export-air-quality-history --sensor co2 --device "Living Room" --last-hours 48

# Excel export for all devices at a location
mcp-airq-cloud export-air-quality-history --sensor co2 --location "Home" \
  --output-format xlsx --output co2.xlsx

Common parameters

| Parameter | Default | Description | |-----------|---------|-------------| | --last-hours | 1 (history) / 24 (plot) | Hours of data to retrieve | | --from-datetime / --to-datetime | — | ISO 8601 time range (overrides --last-hours) | | --max-points | 300 | Downsample to at most N evenly spaced points | | --timezone-name | UTC | IANA timezone for timestamps (e.g. Europe/Berlin) |

Configuration

You need a Cloud API key and the 32-character device ID for each device. Both can be obtained at my.air-q.com.

Option 1: Environment variable (inline JSON)

export AIRQ_CLOUD_DEVICES='[{"id": "de45d2ed777780c96c0deae7a220b745", "api_key": "your-api-key", "name": "Living Room"}]'

Option 2: Default config file (recommended)

Place a JSON file at ~/.config/airq-cloud-devices.json — no environment variable needed:

[
  {"id": "de45d2ed777780c96c0deae7a220b745", "api_key": "your-api-key", "name": "Living Room"}
]

Option 3: Custom config file path

export AIRQ_CLOUD_CONFIG_FILE=/path/to/devices.json

Option 4: Global API key

If all devices share the same API key, set it once:

export AIRQ_CLOUD_API_KEY="your-api-key"
export AIRQ_CLOUD_DEVICES='[{"id": "de45d2ed777780c96c0deae7a220b745", "name": "Living Room"}]'

Device config fields

| Field | Required | Description | |-------|----------|-------------| | id | yes | 32-character cloud device ID | | api_key | no | Per-device API key (falls back to AIRQ_CLOUD_API_KEY) | | name | no | Friendly name (defaults to first 8 chars of ID) | | location | no | Location for grouping (e.g. "Wohnzimmer") | | group | no | Group for grouping (e.g. "zu Hause") |

Usage with Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "air-Q Cloud": {
      "command": "mcp-airq-cloud",
      "env": {
        "AIRQ_CLOUD_DEVICES": "[{\"id\": \"<device-id>\", \"api_key\": \"<key>\", \"name\": \"Living Room\"}]"
      }
    }
  }
}

Usage with Claude Code

claude mcp add air-Q-Cloud mcp-airq-cloud \
  -e AIRQ_CLOUD_DEVICES='[{"id":"<ID>","api_key":"<KEY>","name":"<Name>"}]'

Development

uv sync --frozen --extra dev
uv run pre-commit install
uv run pytest

The repository uses a project-local .venv plus uv.lock for reproducible tooling. Run developer commands through uv run, for example:

uv run ruff check .
uv run ruff format --check .
uv run pyright
uv run pre-commit run --all-files

License

Apache 2.0 — see LICENSE.

See related servers & alternatives →

Related MCP servers

Browse all →

Related guides

Hand-picked reading to help you choose and use Cloud & DevOps servers.