# met-mcp

> met-mcp — trondbjoroy-met-mcp. Use this tool when you need to access detailed weather forecasts in natural language, or when you want to geocode place names for worldwide hourly forecasts. It solves problems related to retrieving weather data and location-based information through a user-friendly interface. The met-mcp tool takes location-based inputs and returns corresponding weather forecasts and geocoded data as outputs.

Canonical page: https://skillsregistry.net/skills/trondbjoroy-met-mcp  
JSON: https://api.skillsregistry.net/v1/skills/trondbjoroy-met-mcp

## Description

Enables natural-language access to MET Norway weather forecasts, including hourly forecasts worldwide and place-name geocoding, via MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vlxvp6jl9s)
- **Repository:** <https://github.com/trondbjoroy/met-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": "trondbjoroy-met-mcp"
    }
  }
}
```

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