Local-first air-quality MCP for AI agents — AirGradient, AirThings, PurpleAir, IQAir, Awair.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-davidmosiah-wellness-air": {
"command": "<see-readme>",
"args": []
}
}
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Local-first air-quality MCP for AI agents — AirGradient, AirThings, PurpleAir, IQAir, Awair.
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📡 Why this exists: your sleep / focus / training results are partly a room-quality problem. PM2.5 above 35, CO₂ above 1,000 ppm, low humidity — those wreck recovery and the agent can't see them. wellness-air gives any AI agent local-first environmental context to cross with WHOOP / Oura / Garmin / nourish.
⚡ One-command install — pick your runtime:
- Delx Wellness for Hermes:
npx -y delx-wellness-hermes setup- Delx Wellness for OpenClaw:
npx -y delx-wellness-openclaw setupOr wire it standalone into Claude Desktop / Cursor / ChatGPT Desktop — see the install section below.
Wellness Air is a local MCP server that exposes air-quality readings to any MCP-aware AI agent. It ships with first-class AirGradient support (open hardware + free public API — no auth needed for the 2,000+ public sensors in the worldwide feed). AirThings and PurpleAir are implemented (bring your own free API credentials); IQAir AirVisual and Awair are on the roadmap.
If wellness-air helps your agent, please star the repo. Stars make the project easier for other AI builders to discover and help Delx keep shipping local-first wellness infrastructure.
# 89 is a real, public AirGradient sensor (Prem Tinsulanonda School, Thailand).
# Swap in one near you from https://www.airgradient.com/map/ — copy the numeric
# locationId from the URL.
WELLNESS_AIR_DEFAULT_LOCATION=89 npx -y wellness-air doctor
WELLNESS_AIR_DEFAULT_LOCATION=89 npx -y wellness-air current
That's it — no token, no signup, no telemetry. Public reads use AirGradient's token-free worldwide feed, so any locationId in that