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How to Use the DingConnect MCP in Vercel AI SDK

Stream mobile top-up data directly into your Vercel AI SDK interface for real-time order tracking and balance monitoring.

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Vercel AI SDK

Connect DingConnect MCP to Vercel AI SDK

Create your Vinkius account to connect DingConnect 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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Real-time account monitoring for AI SDK

Feed your balance data directly into your frontend components. Use `get_account_credit_balance` to display live credit levels to your users as they interact with your application. Your UI updates the moment the data arrives. This eliminates the need for stale state management when tracking your API account status.

Instant mobile service checks for AI SDK

Verify operator availability before executing transactions. By passing `check_mobile_service_status` into your stream, you catch outages before the user hits the pay button. This keeps your application flow clean. You handle errors in real-time by showing service status directly in the chat interface.

Product discovery via MCP Server

Search for top-up products on the fly. Use `search_topup_products` to pull specific SKUs into your application logic based on user queries. Your app stays lightweight. You only fetch the data you need, when you need it, through this MCP Server.

Setup guide

Set up DingConnect 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all DingConnect tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 DingConnect transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DingConnect. 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.

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 DingConnect MCP in Vercel AI SDK

You install the MCP package and initialize the client using the provided URL. Pass the tool definitions directly into your generateText calls to enable the features.
Yes. You fetch the balance and pipe the output into your UI state. It renders instantly as the agent retrieves the current value.
Your API credentials stay on your server. The MCP Server acts as an isolated bridge, ensuring only authorized requests access your account metadata.
Use `list_mobile_operators` to get the list. Your frontend then renders these options for the user to select.
You pipe the output of `list_transaction_history` into your component. It displays your recent top-up logs immediately upon request.

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