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KnowAir Weather MCP Server
A comprehensive Model Context Protocol (MCP) server providing real-time weather data, air quality monitoring, forecasts, and astronomical information powered by Caiyun Weather API.
](https://www.python.org/downloads/) [ [](https://opensource.org/licenses/MIT)
✅ 实时天气数据 - 温度、体感温度、湿度、风速、能见度等完整气象信息 ✅ 全方位空气质量监测 - PM2.5/PM10/O3/SO2/NO2/CO 及中美AQI标准 ✅ 小时级空气质量预报 - 1-72小时逐小时AQI/PM2.5趋势预测，彩色分级显示 ✅ 空气质量趋势分析 - 自动分析空气质量改善/恶化趋势，提供健康建议 ✅ 分钟级降水预报 - 未来2小时逐分钟降水强度预测 ✅ 扩展预报范围 - 1-360小时 / 1-15天预报，支持长期规划 ✅ 天气预警系统 - 实时预警信息推送 ✅ 天文信息 - 日出日落、月相、月出月落时间 ✅ 历史天气数据 - 过去72小时历史天气查询 ✅ 中文本地化 - 天气现象、生活指数全面中文化 ✅ 智能格式化 - 降水强度分级、emoji图标、用户友好显示 ✅ 模块化架构 - 重构为工具、配置、模型模块，更易维护和扩展
🏗️ 架构重构
- 模块化设计: 将大型单文件重构为专业模块
utils.py- 天气数据处理工具函数config.py- 统一配置管理models.py- Pydantic数据验证模型server.py- 核心MCP服务器逻辑
📈 功能增强
- 扩展预报范围: 支持15天日预报和360小时预报
- 新增综合接口:
get_comprehensive_weather提供一站式天气数据 - 优化代码复用: 消除重复代码，提高维护性
- 统一API管理: 所有API调用使用配置化URL构建
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want KnowAir Weather again. Will you remember where to find it?
Save it to your library and the next time you need KnowAir Weather, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. KnowAir Weather. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:wong2/awesome-mcp-servers
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