# National Weather Service

> Use this tool when you need to retrieve current weather alerts or detailed forecasts for specific locations, solving problems such as planning activities or checking for severe weather conditions. It takes state codes or latitude and longitude coordinates as input and provides human-readable weather data as output. This tool is ideal for AI assistant conversations that require up-to-date weather information, enabling users to make informed decisions without leaving the conversation interface.

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

## Description

The Weather MCP server provides AI assistants with access to National Weather Service data through two main tools: retrieving current weather alerts by state code and obtaining detailed weather forecasts for specific locations using latitude and longitude coordinates. Built with Python using the FastMCP framework and httpx for API requests, it formats weather data into human-readable responses with proper error handling for failed requests. This implementation is particularly valuable for workflows requiring up-to-date weather information within AI assistant conversations, allowing users to check for severe weather alerts or plan activities based on upcoming forecasts without leaving their conversation 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/ez-walk-weather)
- **Repository:** <https://github.com/ez-walk/weather-mcp-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": "ez-walk-weather"
    }
  }
}
```

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

---
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
