# weather-mcp

> weather-mcp — arjones-weather-mcp. Use this tool when you need to retrieve accurate and up-to-date weather data for various locations, solving problems such as informing users of current weather conditions or forecasting future weather patterns. The weather-mcp tool takes location inputs and returns relevant weather data outputs through the National Weather Service (NWS) API. It is ideal for use cases that require reliable and standardized weather information, such as mobile apps or web applications.

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

## Description

A Model Context Protocol (MCP) server that provides weather data using the National Weather Service (NWS) API.

## Trust

- **Trust score (0–1):** 0.98
- **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/arjones/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": "arjones-weather-mcp"
    }
  }
}
```

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