# Weather MCP Server

> Use this tool when you need to retrieve real-time or simulated weather data for various applications, solving problems such as informing users about current weather conditions or forecasting future weather patterns. It takes location inputs and returns weather information outputs through the Model Context Protocol. Use it in contexts where accurate and up-to-date weather data is required, such as in smart home devices, navigation systems, or environmental monitoring platforms.

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

## Description

Provides weather information through the Model Context Protocol, fetching real-time weather data from OpenWeather API or using simulated data when API key is not configured.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qy1fy3zbzw)
- **Repository:** <https://github.com/balinux/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": "balinux-weather-mcp"
    }
  }
}
```

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