# AirNow MCP Server

> Use this tool when you need to access real-time, forecasted, and historical U.S. air quality data for applications such as environmental monitoring, health research, or smart city development. The AirNow MCP Server provides a Model Context Protocol implementation, enabling Large Language Models (LLMs) to retrieve air quality data through the AirNow API. It accepts location-based inputs and returns relevant air quality data, making it a valuable resource for environmental-related use cases.

Canonical page: https://skillsregistry.net/skills/prsantos-com-airnow-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/prsantos-com-airnow-mcp-server

## Description

A Model Context Protocol implementation that enables LLMs to access real-time, forecasted, and historical U.S. air quality data through the AirNow API.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/alh9y5j0xv)
- **Repository:** <https://github.com/prsantos-com/airnow-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "prsantos-com-airnow-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/prsantos-com-airnow-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/prsantos-com-airnow-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt