# Korean Weather

> Use this tool when you need to access reliable Korean weather data for your application, as it provides a clean API interface for fetching meteorological information with proper error handling and timeout management. It solves problems related to integrating Korean weather data into various applications, such as coordinate conversion and API authentication. The tool takes in location coordinates and API credentials as inputs and outputs current weather conditions and forecasts.

Canonical page: https://skillsregistry.net/skills/jikime-ko-weather  
JSON: https://api.skillsregistry.net/v1/skills/jikime-ko-weather

## Description

The py-mcp-ko-weather server provides access to Korean weather data through a clean API interface. Developed by Anthony Kim, this implementation uses asynchronous HTTP requests to fetch weather information, with proper error handling and timeout management. The server includes utilities for coordinate conversion and API authentication, making it particularly useful for applications that need reliable Korean meteorological data integration.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jikime-ko-weather)
- **Repository:** <https://github.com/jikime/py-mcp-ko-weather>

## 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": "jikime-ko-weather"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jikime-ko-weather` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jikime-ko-weather/pull`

---
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
