Qweather MCP Server

@yangxt65535

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

yangxt65535

关于 Qweather MCP Server

和风天气API MCP服务（练习用）

#qweather#weather-api #mcp-server

Qweather MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "qweather-mcp-server": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Qweather MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Qweather Mcp Server?

Qweather Mcp Server is a Model Context Protocol server that queries real-time weather data using the Qweather (和风天气) API. It is intended for AI assistants or applications that need live weather information.

How to use Qweather Mcp Server?

The server requires two environment variables: QWEATHER_HOST for the API endpoint and QWEATHER_API_KEY for authentication. It is recommended to run the project with uv by executing uv sync and then uv run main.py.

Key features of Qweather Mcp Server

Query real-time weather data via Qweather API
Simple API key authentication (no JWT support)
Lightweight and easy to run with uv

Use cases of Qweather Mcp Server

Integrate real-time weather queries into AI assistants
Provide weather context for location‑aware applications
Support automated weather reporting in chat or workflow tools

常见问题

What environment variables are required?

You must set `QWEATHER_HOST` (your API endpoint) and `QWEATHER_API_KEY` (your API key).

How does authentication work?

The server only supports API key authentication; JWT is not supported.

What data can it query?

It supports querying real‑time weather data using the Qweather API.

What are the runtime dependencies?

The project is designed to run with Python and the `uv` package manager; specific dependencies are defined in the project’s `pyproject.toml` (not detailed in the README).

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