mcp_weather
MCP Server 和风天气API例子。
Documentation
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)
- 必需参数:
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。
Frequently asked questions
What is mcp_weather?
mcp_weather is MCP Server 和风天气API例子。
How do I install mcp_weather?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is mcp_weather open source?
Yes — it is hosted on GitHub at https://github.com/xuezhijian/mcp_weather and has 2 stars.
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