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How to Use the Mollie MCP in Vercel AI SDK

Stream Mollie payment data directly into your Vercel AI SDK interface for real-time checkout updates.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Mollie MCP to Vercel AI SDK

Create your Vinkius account to connect Mollie 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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Live payment tracking in Vercel AI SDK

Feed live transaction data from `list_payments` directly into your UI components. Your users see status updates the moment the backend reports them. This MCP Server handles the connection, so your edge functions stay lean. You just stream the results into your frontend state.

Dynamic checkout logic for Vercel AI SDK

Call `list_payment_methods` to adjust your frontend checkout options based on the user's location. The AI client adapts the UI dynamically. Everything happens in the same cycle. No extra API calls from your main server are required.

Subscription management for Vercel AI SDK

Use `list_customer_subscriptions` to show active billing cycles to your logged-in users. It keeps your dashboard updated without manual page refreshes. Your code stays clean by delegating the data fetching to this MCP server. It maps directly to your existing React or Next.js components.

Setup guide

Set up Mollie 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 Mollie 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 Mollie 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 Mollie. 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 Mollie MCP in Vercel AI SDK

Keep your keys inside your environment variables. The MCP server handles the handshake, so your client never exposes secrets to the browser.
Yes. When you trigger `create_payment`, the tool returns the checkout URL. You simply route the user there from your interface.
Not at all. The connection uses lightweight HTTP transport to keep latency low. You get the data as fast as the Mollie API responds.
The server passes standard API errors back to the agent. You can configure your model to catch these and prompt the user for a retry.
Yes. This server processes customer IDs and transaction logs in memory. No persistent storage exists outside your own production database.

Start using the Mollie MCP today

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