# Region Weather

> Use this tool when you need to fetch accurate and up-to-date weather information for any city or region worldwide. It solves the problem of accessing reliable weather data without requiring API keys, making it ideal for AI models and clients. Through a simple interface, it provides standardized weather data outputs, deployable via Docker for seamless integration.

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

## Description

Provide accurate and up-to-date weather information for any city or region worldwide through a simple and standardized interface. Enable AI models and clients to easily fetch weather data without requiring API keys. Deploy quickly with Docker support for seamless integration.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-04-27

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/hydavinci/weather_mcp)
- **Repository:** <https://github.com/hydavinci/weather-mcp.git>

## 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": "hydavinci-weather-mcp"
    }
  }
}
```

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

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