How to Use the Juhe Data / 聚合数据 MCP in Vercel AI SDK

Stream real-time Chinese data directly into your UI with the Juhe Data / 聚合数据 MCP Server and Vercel AI SDK.

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Connect Juhe Data / 聚合数据 MCP to Vercel AI SDK

Create your Vinkius account to connect Juhe Data / 聚合数据 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 Juhe Data / 聚合数据 with Vercel AI SDK

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Live data streaming for your interface

Feed live `get_weather` or `get_exchange_rate` updates straight into your React or Next.js components. The Vercel AI SDK handles the stream, so your users see values update instantly without waiting for a full page refresh. This bypasses the usual request-response lag. By connecting your frontend to this MCP server, you turn raw API responses into live UI elements that react to user input immediately.

Direct tool integration in your code

Import your tools using `createMCPClient` and pass them directly into your `generateText` calls. The SDK maps these functions into your app, letting you pull `get_latest_news` or `get_ip_lookup` results with minimal boilerplate. Code stays clean because you aren't managing separate API endpoints. You define the client, expose the tools, and let the AI handle the data fetching logic within your existing edge functions.

Secure identity and location lookups

Validate user input using `get_id_card_info` while keeping the logic contained within your Vercel deployment. This keeps sensitive processing logic away from the client browser while still providing fast feedback to the end user. Use `get_ip_lookup` to tailor content based on location data. Since the server handles the heavy lifting, you just define the tool call in your backend and handle the returned data in your view layer.

Setup guide

Set up Juhe Data / 聚合数据 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 Juhe Data / 聚合数据 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 Juhe Data / 聚合数据 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 Juhe Data / 聚合数据. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Juhe Data / 聚合数据 MCP in Vercel AI SDK

Install the necessary packages and initialize the client using your server URL. Pass the result of your tool list into your agent's tool configuration to make them available for your AI client.

The server manages the connection, but you should monitor your API key limits. If your app hits high traffic, implement caching in your edge functions to minimize redundant calls.

Yes. This MCP server handles identity verification and location lookups securely. It processes data on request and does not store your sensitive user information locally.

Yes, it is designed for it. The tools integrate with the SDK's streaming capabilities to push data updates to your UI in real time.

The server exposes all 10 tools automatically. You can list them via the client to see the exact input parameters required for each function.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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