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How to Use the Blink Payment MCP in Vercel AI SDK

Stream real-time billing states and checkout links directly to your users with Vercel AI SDK.

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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 Blink Payment MCP to Vercel AI SDK

Create your Vinkius account to connect Blink Payment 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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Stream live checkout links directly to your frontend

The `create_paylink` tool generates a checkout URL that your Vercel AI SDK client renders instantly on the screen as the AI generates it. Instead of forcing users to wait for a full page reload, the client streams the link component the millisecond the API responds. You can pair this with `list_paylinks` to let your users view their active checkouts side-by-side with the chat interface. This setup runs entirely on edge functions, keeping latency under 100ms for every customer interaction.

Instant billing lookups without loading spinners

The `get_customer` tool pulls specific billing profiles directly into your React component state without blocking the main thread. Your Vercel AI SDK client fetches the data and renders the user's subscription details while the text response is still typing out. By calling `list_customers` inside your streaming route, you show matching accounts dynamically as the user types a search query. This keeps the interface responsive since the data streams chunk by chunk.

Trigger direct refunds through your Vercel AI SDK client

The `refund_payment` tool processes chargebacks and partial returns directly from a chat prompt. Sending the transaction ID to the edge route immediately updates the UI state. You use `get_payment` to verify the original charge amount before running the refund logic. The client shows the updated ledger balance in real-time to the support agent.

Setup guide

Set up Blink Payment 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 Blink Payment 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 Blink Payment 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 Blink Payment. 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

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Real-time monitoring

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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

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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 Blink Payment MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and initialize the client pointing to your Vinkius MCP endpoint. Pass the tools directly into `streamText` or `generateText` in your Next.js route handler.
Yes, because the server returns structured payloads that the SDK streams chunk by chunk. Your UI renders each transaction block as soon as the chunk arrives.
Yes, the `create_customer` tool lets your agent collect details in chat and immediately register the user. The SDK streams the new customer ID straight to your state.
No, Vinkius hosts the server, and your Vercel AI SDK code connects to it via a single secure HTTP endpoint. This keeps your edge functions lightweight and fast.
Your customer IDs and transaction details are protected by Vinkius's zero-trust MCP sandbox. This server never stores your Blink API keys or raw payment payloads, passing them securely through ephemeral execution environments.

Start using the Blink Payment MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Blink Payment. Just plug in your AI agents and start using Vinkius.

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