# weather-mcp

> weather-mcp — encoreshao-weather-mcp. Use this tool when you need to access weather alerts and forecasts in a standardized format, solving problems related to real-time weather awareness and decision-making. It provides inputs via the Model Context Protocol and outputs weather data, making it suitable for applications requiring integrated weather information. Ideal for use cases where timely and accurate weather forecasts are crucial, such as emergency management or outdoor event planning.

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

## Description

A Weather MCP server providing weather alerts and forecasts via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.97
- **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/encoreshao/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": "encoreshao-weather-mcp"
    }
  }
}
```

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