# dwd-mcp

> Use this tool when you need to access and utilize German weather data for various applications, such as forecasting, research, or emergency management. It provides standardized access to station observations, forecasts, and warnings from the Deutscher Wetterdienst, solving problems related to data integration and consistency. The tool accepts location and data type inputs and outputs relevant weather data through MCP tools.

Canonical page: https://skillsregistry.net/skills/difu-dwd-mcp  
JSON: https://api.skillsregistry.net/v1/skills/difu-dwd-mcp

## Description

Enables access to German weather data from the Deutscher Wetterdienst, including station observations, forecasts, and warnings, through standardized MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wy7lbks8w6)
- **Repository:** <https://github.com/difu/dwd-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": "difu-dwd-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/difu-dwd-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/difu-dwd-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