How to Use the Authorize.net MCP in Vercel AI SDK

Q: How do I create a payment with Authorize.net in my Vercel AI SDK app?

You'll use the createtransaction tool. Pass the transaction type and a request body with payment details. The Vercel AI SDK streams the response, so your UI can confirm the payment success or failure in real-time.

Q: Can I show a customer's payment history from Authorize.net using the Vercel AI SDK?

Yes, that's a perfect use case. Combine getsettledbatchlist to find relevant batches and then gettransactionlist to pull the transactions for those batches. The results will stream directly into your React or Svelte components.

Q: What's the best way to handle refunds from Authorize.net with the Vercel AI SDK?

Use the refundtransaction tool for payments that have already settled. If the transaction is still unsettled, use voidtransaction instead. Your AI client can check the status first to decide which tool to use.

Q: How do I get a list of all customer profiles?

The listcustomerprofiles tool returns all profile IDs. You can then loop through those IDs and use getcustomerprofile to fetch the details for each one as needed.

Stream Authorize.net payment data directly into your Vercel AI SDK app. Show live results, not loading spinners.

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Connect Authorize.net MCP to Vercel AI SDK

Create your Vinkius account to connect Authorize.net 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 Authorize.net with Vercel AI SDK

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Show Live Transaction Data

Your app can now show customers the exact status of their payments in real-time. Use the `get_transaction_details` tool to pull up a full record, or `get_unsettled_transaction_list` to display the most recent activity before it's batched. Because you're using the Vercel AI SDK, this data streams directly into your UI components. The user sees their transaction details appear instantly, field by field. It's a much better experience than staring at a loading animation.

Build Customer Self-Service Portals

Give your users a way to manage their own accounts. The `get_customer_profile` tool fetches their stored information, and `get_transaction_list` can populate a full payment history from any settled batch. Imagine a user asking, 'Show my last 5 payments.' Your AI client uses these tools, and the AI SDK streams the results right into a table in your app. The user just sees a clean, fast interface for their payment history, powered by this MCP.

Interactive Payments in your AI SDK App

Let users do more than just view data. Your UI can now trigger payment actions directly. The `create_transaction` tool initiates a new charge, while `refund_transaction` and `void_transaction` handle reversals. A support agent could type 'Refund transaction 12345.' The AI client confirms, calls the `refund_transaction` tool through the MCP server, and the UI updates instantly to show the refund was processed. It's a direct, conversational way to manage payments.

Setup guide

Set up Authorize.net 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 Authorize.net 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 Authorize.net 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 Authorize.net. 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 Authorize.net MCP in Vercel AI SDK

You'll use the `create_transaction` tool. Pass the transaction type and a request body with payment details. The Vercel AI SDK streams the response, so your UI can confirm the payment success or failure in real-time.

Yes, that's a perfect use case. Combine `get_settled_batch_list` to find relevant batches and then `get_transaction_list` to pull the transactions for those batches. The results will stream directly into your React or Svelte components.

Use the `refund_transaction` tool for payments that have already settled. If the transaction is still unsettled, use `void_transaction` instead. Your AI client can check the status first to decide which tool to use.

The `list_customer_profiles` tool returns all profile IDs. You can then loop through those IDs and use `get_customer_profile` to fetch the details for each one as needed.

This MCP server processes transaction data, customer profile IDs, and batch information. Vinkius isolates every request in a zero-trust sandbox. Your auth token is the only thing needed to connect; all other credentials are managed securely by the platform.

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