How to Use the LianLian Pay MCP in Vercel AI SDK

Q: Can the Vercel AI SDK stream LianLian Pay exchange rates in real time?

Yes, the SDK streams the output of getexchangerates directly into your UI components as the model receives it. This setup bypasses intermediate state management, letting your users see live currency conversion rates instantly.

Q: How does the Vercel AI SDK handle high-volume LianLian Pay transaction histories?

You use listtransactions within a paginated streaming UI to feed large historical datasets into your frontend. The SDK processes the incoming chunks sequentially, preventing browser memory spikes even when pulling thousands of cross-border payment records.

Q: How do we handle manual confirmations for payouts?

You configure the tool call to pause before executing createpayment. The SDK holds the stream, prompts the user for confirmation in the UI, and then resumes the execution once approved.

Run live LianLian Pay ledger operations directly in your Next.js frontend with the Vercel AI SDK.

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Connect LianLian Pay MCP to Vercel AI SDK

Create your Vinkius account to connect LianLian Pay 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 LianLian Pay with Vercel AI SDK

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Live Account Feeds via Vercel AI SDK

The `get_balance` tool pulls real-time treasury figures from your LianLian Pay account directly into your streaming UI components. Your developers hook this tool into the Vercel AI SDK to display active multi-currency balances without forcing the user to refresh the page. Combined with `get_account_info`, this setup renders merchant details instantly during the LLM's generation cycle. You bypass slow loading states by streaming raw data payloads directly into your edge-rendered React tables.

Direct Settlement Streams

The `list_settlements` tool fetches history logs straight from the LianLian Pay network to populate your client-side dashboard dynamically. Using this MCP Server alongside Vercel's streaming capabilities lets your interface render transaction blocks row-by-row as the payment processor returns them. We pair this tool with `list_transactions` to let users filter and audit cross-border movements on the fly. The AI client handles the query logic, while the SDK manages the real-time UI updates without typical backend API glue code.

Real-Time Payment Execution

The `create_payment` tool initiates cross-border transactions directly from your customer-facing chat interface. By integrating this MCP tool with your Vercel AI SDK application, you let users lock in rates and execute global transfers in a single conversational step. Before triggering a transfer, the agent calls `get_exchange_rates` to display the exact FX conversion before the execution is finalized. This prevents rate discrepancies and ensures complete transparency before capital moves.

Setup guide

Set up LianLian Pay 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 LianLian Pay 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 LianLian Pay 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 LianLian Pay. 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 LianLian Pay MCP in Vercel AI SDK

You initialize the MCP client inside your Next.js route handler and pass the tools directly to `streamText`. This lightweight setup keeps your serverless functions cold-start times under 50ms while maintaining a direct connection to the LianLian network.

Yes, the SDK streams the output of `get_exchange_rates` directly into your UI components as the model receives it. This setup bypasses intermediate state management, letting your users see live currency conversion rates instantly.

You use `list_transactions` within a paginated streaming UI to feed large historical datasets into your frontend. The SDK processes the incoming chunks sequentially, preventing browser memory spikes even when pulling thousands of cross-border payment records.

You configure the tool call to pause before executing `create_payment`. The SDK holds the stream, prompts the user for confirmation in the UI, and then resumes the execution once approved.

All API keys and transaction payloads route through secure V8 isolates on the Vinkius network. The server never stores your balance histories or merchant credentials locally, ensuring that raw financial figures remain strictly between your edge environment and the payment gateway.

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