A weather forecast MCP Server for any AI agent.
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## 是什么 Python语言,基于 mcp 库实现的一个 MCP-Server。 ## 有什么能力 预测明天的天气。 ## 怎么用 ### 远程使用 (推荐) 1. 如果未安装 uv工具,先执行一键安装脚本安装 ```bash # 在 macOS 上安装 # 推荐使用 Homebrew 安装: brew install uv # 或者使用官方安装脚本: curl -LsSf https://astral.sh/uv/install.sh | sh # 在 Linux 上安装 curl -LsSf https://astral.sh/uv/install.sh | sh # 在 Windows 上安装 # 使用 Winget: winget install uv # 或者使用官方安装脚本(PowerShell): irm https://astral.sh/uv/install.ps1 | iex # 安装完成后,验证是否成功: uv --version ``` 2. 添加如下 mcpServers 配置 ```json { "mcpServers": { "weather": { "autoApprove": [], "disabled": false, "timeout": 60, "type": "stdio", "command": "uvx", "args": [ "darcycui-mcp" ] } } } ``` ### 本地使用 1. clone项目到本地 path 2. agent mcp_config.json 添加如下配置 3. 注意 path 替换为你的本地路径 4. 注意 路径分隔符,Linux/Mac 使用/分隔符, Windows 使用\\分隔符 ```json { "mcpServers": { "weather": { "autoApprove": [], "disabled": true, "timeout": 60, "type": "stdio", "command": "uv", "args": [ "--directory", "path\\src\\darcycui_mcp", "run", "weather.py" ] } } } ``` ### 自动下载并使用(推荐) agent mcp_config.json 添加如下配置 ```json { "mcpServers": { "weather": { "autoApprove": [], "disabled": false, "timeout": 60, "type": "stdio", "command": "uvx", "args": [ "darcycui-mcp" ] } } } ``` ## 运行结果  ## 参考文章 [马克的技术工坊Github](https://github.com/MarkTechStation/VideoCode/) [MCP终极指南 - 从原理到实战,带你深入掌握MCP(基础篇)-哔哩哔哩](https://b23.tv/JBOXcym) [MCP终极指南 - 带你深入掌握MCP(进阶篇)-哔哩哔哩](https://b23.tv/JWfRFIV) [一文搞懂MCP、Function Calling和A2A](https://mp.weixin.qq.com/s/dAT6l3myGKT3_hX12sMyXw)
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