# weather-mcp

> Use this tool when you need to manage and track weather-related data or automate weather-based tasks, solving problems such as monitoring climate conditions or triggering actions based on forecast updates. It integrates with git for version control and collaboration, accepting location and time inputs to output current and forecasted weather conditions. Ideal for use cases requiring automated weather monitoring or decision-making based on environmental factors.

Canonical page: https://skillsregistry.net/skills/mustafa-karakoyun-weather-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mustafa-karakoyun-weather-mcp

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mustafa-karakoyun/weather-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": "mustafa-karakoyun-weather-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mustafa-karakoyun-weather-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mustafa-karakoyun-weather-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