# Weather MCP Server

> Use this tool when you need to retrieve real-time weather information for specific cities, either in China or globally, to solve problems such as trip planning or climate monitoring. It takes city names as input and outputs current weather conditions, utilizing the wttr.in API for data retrieval. Ideal for applications requiring up-to-date weather data, such as travel apps or environmental monitoring systems.

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

## Description

Real-time weather query MCP server supporting 12 Chinese cities (and global cities via English names) using wttr.in API, built on HelloAgents framework.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dv0uvxouet)
- **Repository:** <https://github.com/maraji/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": "maraji-weather-mcp-server"
    }
  }
}
```

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