How to Use the Caiyun Weather / 彩云天气 MCP in Vercel AI SDK

Q: How do I stream Caiyun Weather / 彩云天气 data in my Vercel AI SDK app?

You pass the tools from the MCP client to the streamText function. The AI SDK handles the rest, streaming structured data from tools like gethourlyforecast directly into your UI components for live updates.

Q: How can I show real-time wind and visibility from Caiyun Weather / 彩云天气 with the Vercel AI SDK?

Your agent can call the getwindconditions and getvisibilitydata tools. The Vercel AI SDK will stream the results, which you can then use to update a dashboard or display alerts in your application's frontend.

Q: What's the difference between getrealtimeweather and gethourlyforecast?

getrealtimeweather gives you the current conditions right now. gethourlyforecast gives you a projection for the next several hours. You'd use the first for a status display and the second for a planning chart.

Stream minute-by-minute rain and AQI data from Caiyun Weather directly into your React components with the Vercel AI SDK.

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Connect Caiyun Weather / 彩云天气 MCP to Vercel AI SDK

Create your Vinkius account to connect Caiyun Weather / 彩云天气 to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Caiyun Weather / 彩云天气 with Vercel AI SDK

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Live Rain Forecasts in Your UI

The `get_minutely_rain` tool gives you precipitation data for the next 60 minutes, right down to the minute. Because the Vercel AI SDK streams tool outputs, your users don't see a loading spinner. They watch the rain forecast chart build itself in real time. It’s perfect for building those “is it about to rain?” dashboards that actually work.

Build Hyperlocal AQI Widgets

Use `get_aqi_info` to pull the air quality index, PM2.5 levels, and other pollution data for any location in China. Your React component can hook directly into the AI SDK stream. As your agent gets the AQI data, your UI updates instantly. This lets you build interactive components that refresh weather context as the user types a new query, without writing custom fetch logic.

Daily & Hourly Weather with this MCP Server

This MCP server exposes `get_daily_forecast` and `get_hourly_forecast` for planning further ahead. Your frontend can call your agent to get the weather, and the AI SDK will stream the structured JSON from these tools right into your app's state. You can immediately map over the hourly data to create a forecast slider without a single line of backend code.

Setup guide

Set up Caiyun Weather / 彩云天气 MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Caiyun Weather / 彩云天气 tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Caiyun Weather / 彩云天气 transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Caiyun Weather / 彩云天气. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Caiyun Weather / 彩云天气 MCP in Vercel AI SDK

You pass the tools from the MCP client to the `streamText` function. The AI SDK handles the rest, streaming structured data from tools like `get_hourly_forecast` directly into your UI components for live updates.

Yes. Your agent can use Caiyun Weather tools and any other tools you provide in the same `streamText` call. For example, get a weather forecast, then book a meeting if it's going to rain.

Your agent can call the `get_wind_conditions` and `get_visibility_data` tools. The Vercel AI SDK will stream the results, which you can then use to update a dashboard or display alerts in your application's frontend.

`get_realtime_weather` gives you the current conditions right now. `get_hourly_forecast` gives you a projection for the next several hours. You'd use the first for a status display and the second for a planning chart.

The Caiyun Weather server only processes the specific location coordinates your agent sends to get the forecast. Vinkius secures the connection with an ephemeral token, so your main credentials are never exposed to the weather service itself.

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