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Mcp Weather
What is Mcp Weather
mcp_weather is a Model Context Protocol server that provides weather forecasts and city information queries. It allows LLMs to access weather information for the next 24 hours and supports queries by city name or geographical coordinates.
Use cases
Use cases for mcp_weather include providing weather updates in travel applications, integrating weather data into smart home systems, and enhancing user experiences in event planning platforms by offering localized weather forecasts.
How to use
To use mcp_weather, you can run it using ‘uv’, ‘docker’, or ‘pip’. For ‘uv’, use ‘uvx mcp-server-weather’. For ‘docker’, run ‘docker run -i --rm mcp/weather’. If using ‘pip’, install it with ‘pip install mcp-server-weather’ and run it with ‘python -m mcp_server_weather’.
Key features
Key features of mcp_weather include the ability to retrieve 24-hour weather forecasts, support for querying by city name or coordinates, and easy integration with various platforms like Claude and Zed.
Where to use
mcp_weather can be used in applications requiring real-time weather data, such as mobile apps, web services, and data analysis tools in sectors like travel, logistics, and event planning.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Weather
mcp_weather is a Model Context Protocol server that provides weather forecasts and city information queries. It allows LLMs to access weather information for the next 24 hours and supports queries by city name or geographical coordinates.
Use cases
Use cases for mcp_weather include providing weather updates in travel applications, integrating weather data into smart home systems, and enhancing user experiences in event planning platforms by offering localized weather forecasts.
How to use
To use mcp_weather, you can run it using ‘uv’, ‘docker’, or ‘pip’. For ‘uv’, use ‘uvx mcp-server-weather’. For ‘docker’, run ‘docker run -i --rm mcp/weather’. If using ‘pip’, install it with ‘pip install mcp-server-weather’ and run it with ‘python -m mcp_server_weather’.
Key features
Key features of mcp_weather include the ability to retrieve 24-hour weather forecasts, support for querying by city name or coordinates, and easy integration with various platforms like Claude and Zed.
Where to use
mcp_weather can be used in applications requiring real-time weather data, such as mobile apps, web services, and data analysis tools in sectors like travel, logistics, and event planning.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
使用docker
使用pip安装
配置Zed
在Zed的settings.json中添加:
使用uvx
使用pip安装
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。
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










