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io.github.davidmosiah/wellness-air

Official

by davidmosiah · TypeScript

Local-first air-quality MCP for AI agents — AirGradient, AirThings, PurpleAir, IQAir, Awair.

io.github.davidmosiah/wellness-air — Model Context Protocol (MCP) server

Local-first air-quality MCP for AI agents. It enables an agent to connect to an AirGradient, AirThings, PurpleAir, IQAir, or Awair sensor, with the stated goal that no tokens leave your machine. The server is distributed as the wellness-air package on npm.

🛠️ Key Features

  • Local-first air-quality MCP for AI agents
  • Sensor support: AirGradient, AirThings, PurpleAir, IQAir, Awair
  • Includes the wellness-air npm package

🚀 Use Cases

  • Provide air-quality readings to an AI agent via supported sensors
  • Run quantified-self or environment workflows locally

⚡ Developer Benefits

  • Uses Model Context Protocol (MCP)
  • Source-aligned topics: air-quality, health-data, local-first, model-context-protocol

⚠️ Limitations

  • Documentation excerpt does not list authentication, deployment details, or available MCP tools (toolCount not provided).

Topics

ai-agentsair-qualityenvironmenthealth-datalocal-firstmcpmcp-servermodel-context-protocolquantified-selfwellness