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MCP server for direct HTTP communication with air-Q air quality sensor devices

Project description

mcp-airq

MCP PyPI Python License Tests Coverage

MCP server for air-Q air quality sensor devices. Enables Claude Desktop, Claude Code, and other MCP clients to directly query and configure air-Q devices on your local network.

Built on aioairq, the official async Python library for air-Q.

Installation

pip install mcp-airq

Or run directly with uvx:

uvx mcp-airq

Device Configuration

Create a JSON file with your device(s), e.g. ~/.config/airq-devices.json:

[
  {"address": "192.168.4.1", "password": "your_password", "name": "Living Room"},
  {"address": "office_air-q.local", "password": "other_pass", "name": "Office"}
]

Each entry requires:

  • address — IP address or mDNS hostname (e.g. abcde_air-q.local)
  • password — Device password (default: airqsetup)
  • name (optional) — Human-readable name; defaults to address

Then restrict access to the file (it contains passwords):

chmod 600 ~/.config/airq-devices.json

Alternatively, pass the device list inline via the AIRQ_DEVICES environment variable as a JSON string.

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "airq": {
      "command": "uvx",
      "args": ["mcp-airq"],
      "env": {
        "AIRQ_CONFIG_FILE": "/home/you/.config/airq-devices.json"
      }
    }
  }
}

Claude Code

Register the server once via the CLI:

claude mcp add airq -e AIRQ_CONFIG_FILE=~/.config/airq-devices.json -- uvx mcp-airq

This writes to ~/.claude/settings.json and is automatically picked up by the Claude Code VSCode extension as well — no separate configuration needed.

If the server fails to connect: MCP servers run in a subprocess that may not inherit your shell's PATH. Replace uvx with its full path (which uvx → e.g. /home/you/.local/bin/uvx):

claude mcp add airq -e AIRQ_CONFIG_FILE=~/.config/airq-devices.json -- /home/you/.local/bin/uvx mcp-airq

OpenAI Codex

Register the server once via the CLI:

codex mcp add airq --env AIRQ_CONFIG_FILE=~/.config/airq-devices.json -- uvx mcp-airq

This writes to ~/.codex/config.toml and is automatically picked up by the Codex VSCode extension as well.

If the server fails to connect: Use the full path to uvx (see note above).

Available Tools

Read-Only

Tool Description
list_devices List all configured air-Q devices
get_air_quality Get current sensor readings (temperature, CO₂, humidity, PM, VOC, …)
get_device_info Get device metadata (name, model, firmware version)
get_config Get full device configuration
get_logs Get device log entries
identify_device Make device blink its LEDs for visual identification
get_led_theme Get current LED visualization theme
get_possible_led_themes List all available LED visualization themes
get_night_mode Get current night mode configuration
get_brightness_config Get current LED brightness configuration

Configuration

Tool Description
set_device_name Rename a device
set_led_theme Change LED visualization (CO₂, VOC, Humidity, PM2.5, …)
set_night_mode Configure night mode schedule and settings
set_brightness Adjust LED brightness (day/night)
configure_network Set static IP or switch to DHCP

Device Control

Tool Description
restart_device Restart the device (~30s downtime)
shutdown_device Shut down the device (manual restart required)

Multi-Device Support

When multiple devices are configured, specify which device to query:

  • By exact name: "Living Room"
  • By partial match (case-insensitive): "living", "office"

If only one device is configured, it is selected automatically.

Example Prompts

  • "How is the air quality in the living room?"
  • "Show CO₂ on the LEDs"
  • "Enable night mode from 10 PM to 7 AM"
  • "Set brightness to 50%"
  • "What's in the device log?"
  • "Make the air-Q blink"

Development

git clone https://github.com/CorantGmbH/mcp-airq.git
cd mcp-airq
pip install -e ".[dev]"
pytest

Release Process

  1. Update version in pyproject.toml.
  2. Commit and create a matching Git tag like v0.1.1.
  3. Publish a GitHub Release from that tag.

The publish workflow validates that the release tag matches pyproject.toml, uploads the package to PyPI, and then publishes the same version to the MCP Registry.

License

Apache License 2.0 — see LICENSE.

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