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Python MCP Korea Weather Service

by jikime
GitHub
Python
3
  • Apple
  • Linux
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Integrations

  • Enables secure configuration of API credentials for the Korea Meteorological Administration through environment variables.

  • Supports containerized deployment of the Korea Weather MCP server, allowing for isolated and consistent execution across different environments.

  • Stores and provides access to grid coordinates data for Korean administrative regions, enabling location-based weather queries.

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

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
  1. uv installation
curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Create a virtual environment and install dependencies:
uv venv -p 3.12 source .venv/bin/activate uv pip install -r requirements.txt
  1. Create a .env file with your KMA API credentials:
cp env.example .env vi .env KO_WEATHER_API_KEY=your_api_key_here
  1. 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 .
  1. Run the container:
docker run py-mcp-ko-weather
Using Local
  1. Run the server:
mcp run src/server.py
  1. 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
  1. 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

License

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

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A
security – no known vulnerabilities
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quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

MCP server that provides Korean weather information using grid coordinates and the Korea Meteorological Administration API, allowing users to query current weather conditions and forecasts for specific locations in Korea.

  1. Overview
    1. Table of Contents
      1. Setup
        1. Prerequisites
        2. Installation
      2. Configure MCP Settings
        1. Claude desktop app
        2. Cursor IDE
        3. for Docker
        4. Using with Claude
      3. API Reference
        1. Tools
        2. Resources
        3. Prompts
      4. Response Format
        1. Acknowledgements
          1. License

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