What is Weather MCP Server?
Weather MCP Server is a Model Context Protocol server that provides weather forecasts and city information queries. It allows users to obtain weather information for the next 24 hours and supports queries by city name or geographical coordinates.
How to use Weather MCP Server?
To use the Weather MCP Server, you can either run it using uv, install it via pip, or configure it with Docker. After installation, you can run the server and make requests to get weather data.
Key features of Weather MCP Server?
- Provides 24-hour weather forecasts.
- Supports queries by city name or coordinates.
- Easy installation and configuration options.
Use cases of Weather MCP Server?
- Getting real-time weather updates for specific locations.
- Integrating weather data into applications for enhanced user experience.
- Supporting research and data analysis related to weather patterns.
FAQ from Weather MCP Server?
- Can I get weather information for any city?
Yes! You can query weather information for any city using its name or coordinates.
- Is there a cost to use the Weather MCP Server?
No! The Weather MCP Server is free to use.
- How accurate is the weather data provided?
The accuracy of the weather data depends on the underlying weather API and the specific location queried.
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
- 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。