一个提供全国天气预报查询功能的模型上下文协议（Model Context Protocol）服务器。该服务器使大型语言模型（LLMs）能够获取全国城市、地区的天气预报情况。
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# Juhe Weather MCP Server 一个提供全国天气预报查询功能的模型上下文协议（Model Context Protocol）服务器。该服务器使大型语言模型（LLMs）能够获取全国城市、地区的天气预报情况。 ## Components ### Tools 服务器实现了一个工具: - query_weather: 根据城市、地区、区县名称查询当地实时天气预报情况. - 需要传入 "city"（城市、区县等名称）作为必须的字符串参数。 ``` async def query_weather( city: str = Field(description="查询的城市名称，如北京、上海、广州、深圳、泰顺等；城市或区县或地区名使用简写，严格按照规范填写，否则会导致查询失败") ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]: ``` ## Install This server requires Python 3.10 or higher. Install dependencies using uv (recommended) or pip ### Using uv (recommended) When using [uv](https://docs.astral.sh/uv/) no specific installation is needed. We will use [uvx](https://docs.astral.sh/uv/guides/tools/) to directly run jweather-mcp-server. ```bash uvx jweather-mcp-server ``` ### Using PIP Alternatively you can install jweather-mcp-server via pip: ``` pip install jweather-mcp-server ``` After installation, you can run it as a script using: ``` python -m jweather_mcp_server ``` ### Configuration #### Environment Variables `JUHE_WEATHER_API_KEY`: 聚合数据的天气预报查询API密钥。获取：[https://www.juhe.cn/docs/api/id/73](https://www.juhe.cn/docs/api/id/73) ``` JUHE_WEATHER_API_KEY=your_api_key ``` #### Configure For CLINE <details> <summary>Using uvx</summary> ``` "mcpServers": { "jweather-mcp-server": { "command": "uvx", "args": [ "jweather-mcp-server" ], "env": { "JUHE_WEATHER_API_KEY": "your_api_key" } } } ``` </details> <details> <summary>Using pip installation</summary> ``` "mcpServers": { "jweather-mcp-server": { "command": "python", "args": [ "-m", "jmobile_location_mcp_server" ], "env": { "JUHE_WEATHER_API_KEY": "your_api_key" } } } ``` </details> ## Debugging You can use the MCP inspector to debug the server. For uvx installations: ```bash npx @modelcontextprotocol/inspector uvx jweather-mcp-server ``` Or if you've installed the pa…
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