How to Use the Dub.co MCP in Vercel AI SDK

Stream your Dub.co analytics and link management directly into your Vercel AI SDK frontends for live, data-driven interfaces.

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Connect Dub.co MCP to Vercel AI SDK

Create your Vinkius account to connect Dub.co 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 Dub.co with Vercel AI SDK

Ask AI about this MCP

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Real-time link creation in your Vercel AI SDK UI

Your users can generate branded links instantly without leaving the conversation. When you call `create_short_link` through the SDK, the tool response streams back to your interface, showing the new URL the moment it hits the edge. This removes the typical wait time for backend confirmations. Your app feels responsive because the MCP Server handles the handshake while your Vercel AI SDK components render the result immediately.

Dynamic workspace analytics for Vercel AI SDK apps

Stop digging through dashboards to find performance data. You can pipe `get_workspace_analytics` results straight into a chart or table component in your web app. This gives your users a live view of their marketing success. It's a direct connection between your Dub.co data and the frontend, keeping your UI updated as your agents fetch the latest click counts.

Manage your domain portfolio via Vercel AI SDK

Control your entire link infrastructure from your own dashboard. The `list_domains` and `list_links` tools let your agent browse and display your active assets inside your application's admin panel. It handles the heavy lifting of sorting through your workspace data. You get a clean list of links, allowing you to build custom management tools that feel like native parts of your site.

Setup guide

Set up Dub.co 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 Dub.co 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 Dub.co 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 Dub.co. 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.

Connect Dub.co now

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 Dub.co MCP in Vercel AI SDK

The MCP Server handles authentication via your endpoint token. Your Vercel AI SDK implementation only sees the data returned by the tools, keeping your primary API keys away from the client-side code.

Yes. Since the MCP Server responds over standard transports, the Vercel AI SDK treats the tool output like any other stream. You can render the link details the moment the tool finishes its execution.

Not at all. The server operates as an independent process, and the Vercel AI SDK only makes targeted calls when you invoke a tool. It stays out of your main render loop until needed.

This server only touches your link metadata and click analytics. It does not store user-identifiable tracking data beyond what you configure in your Dub.co settings, ensuring you remain in control of your workspace data.

Wrap your tool calls in standard TypeScript try/catch blocks. If a request fails, the MCP Server returns a clear error message that you can display directly in your Vercel AI SDK UI.

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