# airkorea-forecast-alert-mcp

> airkorea-forecast-alert-mcp — hlucent-airkorea-forecast-alert-mcp. Use this tool when you need to retrieve Korean air quality forecasts and alerts, such as ultrafine dust and PM2.5 forecasts, particulate matter alarm statuses, and ozone advisories. It solves problems related to environmental monitoring and public health by providing access to real-time air quality data from the AirKorea OpenAPI. It takes location-based inputs and returns forecast and alert data, making it ideal for applications that require up-to-date environmental information.

Canonical page: https://skillsregistry.net/skills/hlucent-airkorea-forecast-alert-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hlucent-airkorea-forecast-alert-mcp

## Description

Enables querying Korean air quality forecasts, weekly ultrafine dust forecasts, high-concentration PM2.5 forecasts, particulate matter alarm statuses, ozone advisories, and yellow dust advisories from the AirKorea OpenAPI.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qb7655uru2)
- **Repository:** <https://github.com/hlucent/airkorea-forecast-alert-mcp>

## 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": "hlucent-airkorea-forecast-alert-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hlucent-airkorea-forecast-alert-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hlucent-airkorea-forecast-alert-mcp/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
