Athena Weather MCP
Exposes live weather data from Open-Meteo and NWS, providing tools to explore forecasts and list active severe weather alerts. It renders an embedded interactive widget for the Athena platform, with no API keys required.
README
🌩️ Weather Alert & Forecast Explorer — Athena MCP Agent
An MCP server that exposes live open weather data and renders it as an embedded interactive widget inside Athena.
Built for the Athena AI Interview Challenge — subject: Weather alert and forecast explorer.
Live endpoints
| URL | |
|---|---|
| MCP endpoint | https://athena-weather-mcp-mocha.vercel.app/mcp |
| Widget preview (browser) | /widget?location=Burlington,Vermont |
| Health | /health |
No authentication — the endpoint is public so any MCP host can connect directly.
Real open/public data sources
No API keys, no auth, no scraping — both are official public feeds.
| Source | Use | Coverage |
|---|---|---|
| Open-Meteo Forecast API | Current conditions, 7-day daily forecast, hourly series | Global |
| Open-Meteo Geocoding API | Free-text location → coordinates | Global |
| US National Weather Service API | Active severe weather alerts/warnings | United States |
Alert coverage is stated honestly in the payload (alertCoverage) rather than
silently returning an empty list outside the US.
MCP tools
explore_weather
Opens the interactive explorer for any location on Earth.
{ "location": "Tampa, Florida", "days": 7 }
Returns a text summary (for the model), structuredContent (for programmatic use),
and the interactive widget.
list_active_alerts
Lists currently active NWS alerts, filterable by state code and severity — used to
find where severe weather is happening, then drill in with explore_weather.
{ "area": "TX", "severity": "Severe" }
The widget — interactions
The widget ships three meaningful interactions (two were required):
- Day selector — click any of the 7 forecast day cards to pivot the entire hourly view to that day. Keyboard accessible (Enter/Space).
- Metric toggle — switch the hourly chart between Temperature, Rain %, and Wind. The chart re-renders as a line or bar series with an axis scaled to the selected metric.
- Expandable alerts — click any active NWS alert to expand the full official description, protective-action instructions, onset/expiry window, urgency and certainty.
Hovering the chart also scrubs a per-hour readout (temp / precip / wind).
Selecting a day or expanding an alert additionally emits a follow-up prompt to the host so the conversation can continue from what the user clicked.
Design notes
Host-convention hedging. MCP hosts disagree on how a tool returns UI. Each
explore_weather result therefore carries the widget in every known convention
at once — an mcp-ui embedded resource in the content array, plus
_meta.ui.resourceUri (Anthropic Apps) and _meta["openai/outputTemplate"]
(OpenAI Apps SDK). Unknown _meta keys are ignored by spec, so this costs
nothing and removes a single point of failure.
Self-contained widget. The full dataset is inlined as JSON at render time and every interaction runs client-side. The widget makes zero network calls and needs zero host cooperation to be fully interactive — important because iframe CSP and host-messaging support vary widely. Host messaging is layered on as enhancement, never as a dependency.
Graceful degradation. Hosts with no widget support still get a complete text
summary plus structuredContent, so the model can answer regardless.
Safety. NWS alert text is third-party input and is rendered exclusively via
textContent / DOM construction — never innerHTML.
Run locally
npm run dev # http://localhost:3000/mcp
Smoke test:
curl -s http://localhost:3000/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"explore_weather","arguments":{"location":"Miami, Florida"}}}'
Open the widget standalone in a browser:
http://localhost:3000/widget?location=Tampa,Florida
Stack
Zero runtime dependencies. Hand-rolled JSON-RPC 2.0 over Streamable HTTP
(POST /mcp, with SSE framing when the client's Accept header asks for it),
deployed as a Node serverless function on Vercel.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。