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How to Use the Clip API MCP in Vercel AI SDK

Build live-updating Mexican payment dashboards and storefronts using the Clip API and Vercel AI SDK.

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Vercel AI SDK

Connect Clip API MCP to Vercel AI SDK

Create your Vinkius account to connect Clip API 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 Clip API payment links directly to your frontend

The `create_payment_link` tool lets your agent generate unique checkout URLs for Mexican customers on the fly. Instead of making users wait for a full page reload, the Vercel AI SDK streams the generated links straight to the user's chat bubble as they talk to your app. You can also hook up `cancel_payment_link` to void active offers if a customer changes their mind mid-chat. Everything runs on our secure MCP Server in edge functions with zero cold starts, making checkout feel instant.

Live catalog updates in the UI

The `add_product_to_catalog` tool inserts new inventory items directly into your Clip POS system via your LLM interface. This MCP tool inserts the item and updates the state of your storefront instantly. Use `list_products_catalog` to let users browse your active stock without leaving the chat. Your agent pulls the inventory, formats it, and renders the current product list on the screen in one smooth motion.

Real-time balance and terminal monitoring

The `get_balance_summary` tool fetches your pending settlement amounts directly from Clip's Mexican gateway. This MCP server lets your agent grab the raw ledger data and push it straight to your React dashboard components. You can query physical POS hardware status using `list_terminals` or pull historical payouts with `get_settlement_reports`. The SDK handles the data stream so your finance team sees actual numbers update without manual refreshes.

Setup guide

Set up Clip API 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 Clip API 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 Clip API 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 Clip API. 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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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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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Clip API MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and instantiate the MCP client pointing to your Vinkius endpoint. Pass the tools from `mcpClient.tools()` directly into `streamText` to let your agent call Mexican payment functions.
Yes. The agent calls `create_subscription_plan` to set up recurring payment cycles. The tool returns the plan details, which stream directly into your React frontend.
Your agent invokes `refund_transaction` with the specific transaction ID. The SDK streams the execution status back, letting the user know instantly if the refund succeeded.
No. Vinkius manages the Clip API authentication securely in an isolated sandbox. Your frontend only needs one secure Vinkius token to execute tools.
Every request runs inside an ephemeral, zero-trust V8 isolate sandbox. Your Clip API transaction records, balance summaries, and settlement reports are never stored or logged by Vinkius.

Start using the Clip API MCP today

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