Air Q Cloud
Pull air-Q Cloud API air quality data into agent workflows for remote sites, multi-location apps, or hosted dashboards.
Overview
air-Q Cloud MCP is a MCP server for the Build phase that queries the air-Q Cloud API so agents can use remote air quality data from anywhere.
What is this MCP server?
- PyPI package mcp-airq-cloud v1.4.4 with stdio MCP transport
- Remote air quality via air-Q Cloud API from any network
- Per-device or global AIRQ_CLOUD_API_KEY fallback configuration
- Device list via AIRQ_CLOUD_CONFIG_FILE or AIRQ_CLOUD_DEVICES JSON
- Complements local mcp-airq when sensors are cloud-managed only
- Published server version 1.4.4
- 3 documented environment variables including secret API key
- Stdio transport via PyPI identifier mcp-airq-cloud
What problem does it solve?
Remote air-Q data lives behind a cloud API and keys, so agents cannot fetch it without a dedicated integration layer.
Who is it for?
Builders with cloud-linked air-Q accounts who need agent access to multi-site or off-LAN air quality metrics.
Skip if: Setups where every sensor is only reachable on local HTTP—mcp-airq is the better fit.
What do I get? / Deliverables
After setup, your agent uses MCP tools against air-Q Cloud with configured devices and API keys in one place.
- MCP tools backed by air-Q Cloud HTTP API
- Centralized secret and device config for agent sessions
Recommended MCP Servers
Journey fit
Cloud API credentials and MCP wiring are integration tasks completed while building features that consume environmental data. air-Q Cloud is an external SaaS API—tagged under integrations so builders find it beside other third-party MCP connectors.
How it compares
Cloud API MCP connector, not an on-LAN HTTP device skill or generic database server.
Common Questions / FAQ
Who is Air Q Cloud MCP for?
Solo builders and small teams using Air Q Cloud who want their AI coding agent to read remote air quality through the official MCP stdio server.
When should I use Air Q Cloud MCP?
Use it when building or operating apps that need cloud-hosted air-Q readings and you want MCP tools instead of manual API calls in each session.
How do I add Air Q Cloud MCP to my agent?
Install mcp-airq-cloud from PyPI, configure stdio in your MCP settings, and set AIRQ_CLOUD_API_KEY plus AIRQ_CLOUD_CONFIG_FILE or AIRQ_CLOUD_DEVICES.