# QWeather

> Use this tool when you need to integrate accurate and comprehensive weather data into your AI applications, enabling use cases such as travel planning, outdoor activity recommendations, and agricultural monitoring. QWeather provides current weather conditions, multi-day forecasts, and location-based weather information through a robust API interface. It accepts location inputs and outputs detailed meteorological data, making it a valuable resource for building weather-aware chatbots and applications.

Canonical page: https://skillsregistry.net/skills/overstarry-qweather  
JSON: https://api.skillsregistry.net/v1/skills/overstarry-qweather

## Description

This QWeather MCP server by overstarry integrates with the QWeather API to provide weather data and forecasting capabilities for AI assistants. The implementation offers access to current weather conditions, multi-day forecasts, and location-based weather information through QWeather's comprehensive meteorological data service. Built to enable weather-aware applications and chatbots, it's valuable for travel planning, outdoor activity recommendations, agricultural monitoring, and any use case requiring accurate weather data integration.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/overstarry-qweather)
- **Repository:** <https://github.com/overstarry/qweather-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": "overstarry-qweather"
    }
  }
}
```

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