# Weather

> Use this tool when you need to retrieve accurate and real-time weather information, forecasts, or historical data within AI conversations. It solves problems of switching between applications to get weather updates, providing a seamless experience for users. The tool takes location inputs and returns current conditions, forecasts, air quality, and weather alerts as outputs.

Canonical page: https://skillsregistry.net/skills/weather8484  
JSON: https://api.skillsregistry.net/v1/skills/weather8484

## Description

The Weather MCP Tool provides real-time weather data, forecasts, and historical weather information using the OpenWeatherMap API, specifically designed for Claude Desktop. Built with Python using the FastMCP framework, it offers six specialized tools for retrieving current weather conditions, 5-day forecasts, air quality information, historical weather data, location search, and weather alerts. The implementation includes proper error handling, rate limit considerations, and detailed documentation for integration with Claude Desktop. It's particularly valuable for users who need accurate weather information within AI assistant conversations without switching to separate weather applications.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/weather8484)
- **Repository:** <https://github.com/saintdoresh/weather-mcp-claudedesktop>

## 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": "weather8484"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/weather8484` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/weather8484/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