What is Py Mcp Ko Weather

py-mcp-ko-weather is a Python-based weather service that utilizes the Model Control Protocol (MCP) to provide weather information for South Korea.

Use cases

Use cases include checking the weather for specific districts in South Korea, integrating weather data into applications, and providing localized weather forecasts for users.

How to use

To use py-mcp-ko-weather, clone the repository, install the required packages using uv, set your Korea Meteorological Administration (KMA) API key in the .env file, migrate the grid coordinates data to SQLite, and run the server.

Key features

Key features include retrieving grid coordinates for specific locations and fetching short-term weather forecasts from the KMA API, providing detailed weather information such as temperature, precipitation, humidity, and wind conditions.

Where to use

py-mcp-ko-weather can be used in applications requiring real-time weather data, such as mobile apps, web services, and IoT devices in South Korea.

Korea Weather MCP Server

This MCP (Multi-platform Communication Protocol) server provides access to Korea Meteorological Administration (KMA) APIs, allowing AI agents to retrieve weather forecast information for locations in South Korea.

Overview

• Retrieve precise grid coordinates for Korean administrative regions
• Get detailed short-term weather forecasts for any location in Korea
• Support for all Korean administrative divisions (city, district, neighborhood)
• Structured text responses optimized for LLM consumption
• Comprehensive weather data including temperature, precipitation, sky condition, humidity, wind direction, and wind speed

Table of Contents

• Prerequisites
• Installation
• Configure MCP Settings
• API Reference
• Acknowledgements
• License

Setup

Prerequisites

• Python 3.12+
• Korea Meteorological Administration API credentials
• You can obtain the API credentials by signing up at the Public Data Portal and requesting access to the “기상청_단기예보 ((구)_동네예보) 조회서비스” API.

Installation

1. Clone the repository:

git clone https://github.com/jikime/py-mcp-ko-weather.git
cd py-mcp-ko-weather

2. uv installation

curl -LsSf https://astral.sh/uv/install.sh | sh

3. Create a virtual environment and install dependencies:

uv venv -p 3.12
source .venv/bin/activate
uv pip install -r requirements.txt

4. Create a .env file with your KMA API credentials:

cp env.example .env
vi .env

KO_WEATHER_API_KEY=your_api_key_here

5. Migrate the grid coordinates data from Excel to SQLite:

uv run src/migrate.py

Using Docker

1. Build the Docker image:

docker build -t py-mcp-ko-weather .

2. Run the container:

docker run py-mcp-ko-weather

Using Local

1. Run the server:

mcp run src/server.py

2. Run the MCP Inspector

mcp dev server.py

Configure MCP Settings

Add the server configuration to your MCP settings file:

Claude desktop app

1. To install automatically via Smithery:

npx -y @smithery/cli install @jikime/py-mcp-ko-weather --client claude

2. To install manually
   open ~/Library/Application Support/Claude/claude_desktop_config.json

Add this to the mcpServers object:

{
  "mcpServers": {
    "Google Toolbox": {
      "command": "/path/to/bin/uv",
      "args": [
        "--directory",
        "/path/to/py-mcp-ko-weather",
        "run",
        "src/server.py"
      ]
    }
  }
}

Cursor IDE

open ~/.cursor/mcp.json

Add this to the mcpServers object:

{
  "mcpServers": {
    "Google Toolbox": {
      "command": "/path/to/bin/uv",
      "args": [
        "--directory",
        "/path/to/py-mcp-ko-weather",
        "run",
        "src/server.py"
      ]
    }
  }
}

for Docker

{
  "mcpServers": {
    "Google Toolbox": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "py-mcp-ko-weather"
      ]
    }
  }
}

Using with Claude

Once configured, you can ask Claude questions like:

• “서울특별시 서초구 양재1동의 날씨는?”
• “부산광역시 해운대구 우동의 날씨 예보를 알려줘”
• “경기도 성남시 분당구의 현재 기온은?”

API Reference

Tools

Get Grid Location

get_grid_location(city: str, gu: str, dong: str) -> dict

Retrieves the grid coordinates (nx, ny) used by the Korea Meteorological Administration API for the specified location.
This tool searches the database for the exact coordinates based on city/province, district/county, and neighborhood/town information.

Get Forecast

get_forecast(city: str, gu: str, dong: str, nx: int, ny: int) -> str

Calls the KMA’s ultra-short-term forecast API to provide weather forecast information for a specific location.
Returns comprehensive weather data including temperature, precipitation, sky condition, humidity, wind direction, and wind speed.

Resources

Weather Instructions

GET weather://instructions

Provides detailed documentation on how to use the Korea Weather MCP server, including tool workflows and response formats.

Prompts

Weather Query

The server includes a structured prompt template for guiding conversations about weather queries, ensuring efficient information gathering and clear presentation of forecast data.

Response Format

Weather forecast responses are provided in structured text format, optimized for LLM processing:

Weather forecast for 서울특별시 서초구 양재1동 (coordinates: nx=61, ny=125)
Date: 2025-05-01
Time: 15:00

Current conditions:
Temperature: 22.3°C
Sky condition: Mostly clear
Precipitation type: None
Precipitation probability: 0%
Humidity: 45%
Wind direction: Northwest
Wind speed: 2.3 m/s

Hourly forecast:
16:00 - Temperature: 21.8°C, Sky: Clear, Precipitation: None
17:00 - Temperature: 20.5°C, Sky: Clear, Precipitation: None
18:00 - Temperature: 19.2°C, Sky: Clear, Precipitation: None
...

Acknowledgements

• Korea Meteorological Administration
• Public Data Portal
• MCP Protocol

License

This project is licensed under the MIT License - see the LICENSE file for details.