# weather

> weather — mddaniya1-weather. Use this tool when you need to access and manage weather data, solve problems related to climate and meteorological conditions, and integrate with git for version control, providing input parameters such as location and date, and outputting forecast data and weather alerts. It is ideal for use cases that require real-time weather updates, historical climate data, and predictive analytics. The tool's interface allows for seamless integration with various applications and systems, making it a valuable resource in contexts such as urban planning, agriculture, and emergency management.

Canonical page: https://skillsregistry.net/skills/mddaniya1-weather  
JSON: https://api.skillsregistry.net/v1/skills/mddaniya1-weather

## Description

MCP Models Context Protocol Server

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/mddaniya1/weather)

## 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": "mddaniya1-weather"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mddaniya1-weather` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mddaniya1-weather/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