mcp-danish-weather
# mcp-danish-weather 🌦️
MCP server for Danish weather data from DMI (Danish Meteorological Institute). Part of the [Nordic MCP Toolkit](https://github.com/robobobby).
## Tools
| Tool | Description |
|------|-------------|
| `current_weather` | Current conditions for any Danish location |
| `weather_forecast` | Hourly forecast up to 72 hours ahead |
| `historical_weather` | Past weather with hourly/daily/monthly/yearly resolution |
## Location Formats
- **City name:** `copenhagen`, `aarhus`, `odense`, `gilleleje`
- **Postal code:** `1000`, `8000`, `5000`
- **Coordinates:** `55.6761,12.5683`
## Installation
```bash
npx mcp-danish-weather
```
Or add to your MCP client config:
```json
{
"mcpServers": {
"danish-weather": {
"command": "npx",
"args": ["-y", "mcp-danish-weather"]
}
}
}
```
## Examples
Ask your AI assistant:
- "What's the weather in Copenhagen right now?"
- "Will it rain in Aarhus tomorrow?"
- "What was the temperature in Odense last January?"
- "Show me the 72-hour forecast for Gilleleje"
## Data Source
[Danish Meteorological Institute (DMI)](https://www.dmi.dk/) — Denmark's national weather service. Free API, no authentication required.
## Part of the Nordic MCP Toolkit
- [mcp-danish-cvr](https://github.com/robobobby/mcp-danish-cvr) — Danish company registry
- [mcp-danish-addresses](https://github.com/robobobby/mcp-danish-addresses) — Danish address lookups & geocoding
- **mcp-danish-weather** — Danish weather data (this package)
## License
MIT
TDQS
Scored across 3 tools
The three tools have clearly distinct purposes: compare_weather for side-by-side comparisons between two locations, current_weather for real-time conditions at a single location, and weather_forecast for future predictions at a single location. There is no overlap or ambiguity in their functions, making it easy for an agent to select the appropriate tool.
All tool names follow a consistent verb_noun pattern with snake_case: compare_weather, current_weather, and weather_forecast. This predictability enhances readability and usability, with no deviations in style or convention.
With three tools, the server is well-scoped for its purpose of providing Danish weather data. Each tool earns its place by covering distinct aspects: current conditions, forecasts, and comparisons, avoiding bloat while ensuring essential functionality.
The tool set offers complete coverage for the domain of Danish weather information, including current conditions, forecasts (hourly/daily up to 16 days), and comparisons between locations. There are no obvious gaps, as it supports core workflows like planning and decision-making without dead ends.