How to Use the Corpay One MCP in Vercel AI SDK

Q: How do I connect Corpay One to Vercel AI SDK?

Install the core packages using npm install ai @ai-sdk/mcp to get started. Create your client using createMCPClient pointing to the Vinkius endpoint, then pass the tools directly into your streamText call.

Stream Corpay One payment details and invoice lists directly into your Next.js frontend with Vercel AI SDK.

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Connect Corpay One MCP to Vercel AI SDK

Create your Vinkius account to connect Corpay One 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 Corpay One with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Live Corpay One streams for Vercel AI SDK frontends

Stop making your users stare at loading spinners while fetching financial records. This MCP Server lets your application fetch active bills using `list_financial_documents` and stream them straight to the UI. Your users see their receipts and invoices pop up line by line as the data arrives from the API. Setting this up takes seconds. Pass the toolset from `mcpClient.tools()` into `streamText` to let your agent fetch documents, and remember to trigger `mcpClient.close()` when the edge function finishes.

Instant supplier search

Finding supplier records shouldn't slow down your interface. By calling `list_account_vendors`, your interface renders matching business profiles instantly. Your agent reads the list and displays the exact vendor details your user asked for. The Vercel AI SDK handles the data exchange over a secure HTTP MCP transport layer. You get clean JSON arrays that map directly to your React components without writing custom API endpoints.

Direct payment details in your UI

Users can check where their money is by asking the agent directly. The agent invokes `get_payment_details` to pull real-time transaction statuses from Corpay One. Because this runs on edge-compatible infrastructure, response times stay under a second. You get the speed of local state with the accuracy of live bank-level data.

Setup guide

Set up Corpay One 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 Corpay One 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 Corpay One 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 Corpay One. 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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Common questions about Corpay One MCP in Vercel AI SDK

Install the core packages using `npm install ai @ai-sdk/mcp` to get started. Create your client using `createMCPClient` pointing to the Vinkius endpoint, then pass the tools directly into your `streamText` call.

Yes, you can stream lists of bills and receipts in real-time. By passing `list_financial_documents` to the Vercel AI SDK, your UI renders the document data chunk-by-chunk as the server processes the request.

The server communicates over standard HTTP transport, making it fully compatible with Vercel Edge Functions. Just make sure to call `mcpClient.close()` at the end of your execution block to prevent hanging connections.

Your frontend can send base64 files or URLs to the agent, which then runs `create_new_document` via the MCP Server. The SDK streams the upload confirmation back to the chat UI immediately.

All API keys and vendor details are isolated inside Vinkius sandboxed V8 containers. Your Next.js app accesses the tools via a single secure token, meaning your database credentials and raw transaction logs never sit in the browser client.

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