# NWS Weather

> Use this tool when you need to integrate weather data into your application, providing real-time access to weather alerts by state and forecasts by coordinates. It solves problems related to weather information retrieval, offering a standardized interface for developers to access National Weather Service API data. The tool takes location inputs, such as state or coordinates, and outputs relevant weather data, making it ideal for applications requiring basic weather information.

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

## Description

This MCP server, developed as a quickstart example, provides weather data integration using the National Weather Service API. Built with Python and TypeScript versions, it offers tools for retrieving weather alerts by state and forecasts by coordinates. The implementation focuses on demonstrating core MCP concepts like tool definition, request handling, and data formatting. It's designed to work with Claude for Desktop or custom MCP clients, making it useful for developers learning MCP server creation or applications needing basic weather information access through a standardized interface.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/weather)
- **Repository:** <https://github.com/crazyrabbitltc/mcp-snapshot-server>

## 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": "weather"
    }
  }
}
```

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