# yr-mcp

> yr-mcp — fredrsat-yr-mcp. Use this tool when you need to retrieve weather data from Yr / MET Norway, providing access to forecast, nowcast, and location search functionality through an MCP server interface. It solves problems related to weather data integration and retrieval, accepting location inputs and returning relevant weather information as output. Ideal for use cases requiring accurate and up-to-date weather data, such as weather forecasting applications or location-based services.

Canonical page: https://skillsregistry.net/skills/fredrsat-yr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fredrsat-yr-mcp

## Description

MCP server for weather data from Yr / MET Norway (forecast, nowcast, location search)

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/fredrsat/yr-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": "fredrsat-yr-mcp"
    }
  }
}
```

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