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  3. Air Q Cloud
A
Health: ActiveRecent health check succeeded.Last checked 8/10/2026, 11:54:57 PM

Air Q Cloud

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

MCP server for air-Q Cloud API β€” access air quality data from anywhere

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "air-q-cloud": {
      "command": "uvx",
      "args": [
        "mcp-airq-cloud"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Tool Schemas (5) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Capabilities & Tool Schemas (5) ~102 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Air Q Cloud.

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

Documentation Overview

mcp-airq-cloud

MCP PyPI Total Downloads Python License Tests Coverage

MCP server for the air-Q Cloud API β€” 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.

Tools

ToolDescription
list_devicesList configured air-Q Cloud devices
get_air_qualityGet latest sensor readings (supports device/location/group selection)
get_air_quality_historyGet historical data within a time range as column-oriented JSON
plot_air_quality_historyRender one historical chart per sensor across all matching devices
export_air_quality_historyExport one historical sensor as one csv or xlsx across matching devices

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

Installation

Terminal
pip install mcp-airq-cloud

Or install from source:

bash
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:

bash
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:

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

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

bash
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.

bash
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.

COβ‚‚ area chart β€” single device

Single device (24 h, area chart, PNG)

COβ‚‚ area chart β€” multiple devices

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

bash
# 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.

server.ts
# 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

ParameterDefaultDescription
--last-hours1 (history) / 24 (plot)Hours of data to retrieve
--from-datetime / --to-datetimeβ€”ISO 8601 time range (overrides --last-hours)
--max-points300Downsample to at most N evenly spaced points
--timezone-nameUTCIANA 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)

server.ts
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 β€” no environment variable needed:

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

Option 3: Custom config file path

server.ts
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:

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

Device config fields

FieldRequiredDescription
idyes32-character cloud device ID
api_keynoPer-device API key (falls back to AIRQ_CLOUD_API_KEY)
namenoFriendly name (defaults to first 8 chars of ID)
locationnoLocation for grouping (e.g. "Wohnzimmer")
groupnoGroup for grouping (e.g. "zu Hause")

Usage with Claude Desktop

Add to claude_desktop_config.json:

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

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

Development

bash
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:

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

License

Apache 2.0 β€” see LICENSE.

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Frequently Asked Questions about Air Q Cloud

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "air-q-cloud": { "command": "npx", "args": ["-y", "air-Q Cloud"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Views0
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Last commit5d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 5, 2026
51Quality signal: Good Β· 51/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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