mcpField
W
Weather MCP Server

Weather MCP Server

Local
github.com/xuezhijianMedia & Design2Updated 85w ago

About Weather MCP Server

Weather MCP Server is an MCP server for querying 24-hour forecasts through the QWeather API. It is intended for LLMs that need weather information and accepts a city name or coordinates as the location.

Key features

  1. 01Query 24-hour weather forecasts
  2. 02Specify a city by name
  3. 03Specify a location by coordinates

Use cases

  1. 01Get a city's next 24-hour forecast
  2. 02Query weather for a coordinate

MCP support

It exposes the `get_24h_weather` tool to MCP clients, accepting a city name or coordinates.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Weather MCP Server

一个提供天气预报和城市信息查询功能的Model Context Protocol服务器。该服务器允许LLMs获取未来24小时的天气信息,并支持通过城市名称、经纬度等方式查询城市信息。

可用工具
  • get_24h_weather - 获取未来24小时的天气预报。
    • 必需参数:
      • location (string): 城市名称或经纬度(例如,北京或116.41,39.92)

安装

使用uv(推荐)

使用uv时无需特定安装。我们将使用uvx直接运行mcp-server-weather。

使用PIP

或者,你可以通过pip安装mcp-server-weather:

pip install mcp-server-weather

安装后,你可以使用以下命令作为脚本运行:

python -m mcp_server_weather

配置

配置Claude.app

在Claude设置中添加:

使用uvx
"mcpServers": {
  "weather": {
    "command": "uvx",
    "args": ["mcp-server-weather"]
  }
}
使用docker
"mcpServers": {
  "weather": {
    "command": "docker",
    "args": ["run", "-i", "--rm", "mcp/weather"]
  }
}
使用pip安装
"mcpServers": {
  "weather": {
    "command": "python",
    "args": ["-m", "mcp_server_weather"]
  }
}
配置Zed

在Zed的settings.json中添加:

使用uvx
"context_servers": [
  "mcp-server-weather": {
    "command": "uvx",
    "args": ["mcp-server-weather"]
  }
],
使用pip安装
"context_servers": {
  "mcp-server-weather": {
    "command": "python",
    "args": ["-m", "mcp_server_weather"]
  }
},

示例交互

  1. 获取未来24小时天气:
{
  "name": "get_24h_weather",
  "arguments": {
    "location": "广州 天河"
  }
}

响应:

{
  "location": "广州 天河",
  "forecast": "未来24小时的天气信息..."
}

调试

你可以使用MCP inspector来调试服务器。对于uvx安装:

npx @modelcontextprotocol/inspector uvx mcp-server-weather

或者如果你在特定目录中安装了包或正在开发:

cd path/to/servers/src/weather
npx @modelcontextprotocol/inspector uv run mcp-server-weather

构建

Docker 构建:

docker build -t mcp/weather .

贡献

我们鼓励对mcp-server-weather的贡献,以帮助扩展和改进其功能。无论是添加新的天气相关工具、增强现有功能,还是改进文档,你的输入都很有价值。

有关其他MCP服务器和实现模式的示例,请参见: https://github.com/modelcontextprotocol/servers

欢迎提交拉取请求!随时贡献新想法、错误修复或增强功能,以使mcp-server-weather更加强大和实用。

许可证

mcp-server-weather根据MIT许可证授权。这意味着你可以自由使用、修改和分发软件,但需遵守MIT许可证的条款和条件。有关详细信息,请参阅项目存储库中的LICENSE文件。

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.