How to Use the Monnify MCP in Vercel AI SDK

Q: Can I trigger Monnify payments through Vercel AI SDK components?

Yes, you can initiate transactions using the initpayment tool. It maps user intent directly to the Monnify API, allowing your frontend to trigger checkouts immediately.

Stream real-time Monnify payment data directly into your Vercel AI SDK frontends for live transaction tracking.

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Connect Monnify MCP to Vercel AI SDK

Create your Vinkius account to connect Monnify 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 Monnify with Vercel AI SDK

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Live Monnify data in Vercel AI SDK

Your Vercel AI SDK interface updates instantly as the MCP server fetches payment states. You don't wait for round-trips; the data pushes directly into your UI components. Use `list_transactions` to pull the latest activity and `get_transaction` to verify specific payment statuses without leaving your build environment.

Automated virtual account management

Provision virtual accounts for your users without building custom middleware. Your AI client handles the logic through the `reserve_account` and `list_reserved_accounts` tools. It's a direct bridge between your app and the Monnify ledger, ensuring your frontend state always matches the actual account availability.

Direct settlement and disbursement tracking

Query your financial history directly from the edge. The server exposes `list_settlements` and `list_disbursements` so you can render reconciliation reports on the fly. Your AI client interprets these records, allowing you to show users exactly when funds move, all while keeping your backend code lean and focused.

Setup guide

Set up Monnify 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 Monnify 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 Monnify transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Monnify. 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 Monnify MCP in Vercel AI SDK

You handle authentication via the Vercel environment variables passed to the MCP transport. The server uses a single endpoint token to authorize requests, keeping your keys out of the client-side bundle.

Yes, you can initiate transactions using the `init_payment` tool. It maps user intent directly to the Monnify API, allowing your frontend to trigger checkouts immediately.

Yes, the Vercel AI SDK streams these tool results back to your UI as they happen. You'll see the status updates for `list_transactions` populate your component state immediately upon execution.

The server doesn't store your sensitive financial records; it fetches them ephemerally from Monnify. Your session data lives only in the memory of your AI client for the duration of the request.

Your data remains isolated within your Vercel deployment. We use a zero-trust sandbox where the MCP server only touches the specific payment endpoints you authorize for your workflow.

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