How to Use the Uscreen MCP in Vercel AI SDK

Q: Can I use the Vercel AI SDK for transaction listings?

Absolutely. You can call listtransactions through your AI client, which streams all the listing results directly to the UI. This is great for building live financial reporting tools.

Q: What data type does Uscreen touch when using Vercel AI SDK?

This MCP Server touches several data types, including customer records, content metadata, and collection details. You can access these specific payloads live in your application's front end.

Q: What authentication methods support Uscreen with Vercel AI SDK?

The Vercel AI SDK supports authProvider for OAuth, so connecting your application to Uscreen is straightforward. You'll use the provided endpoint token for secure access.

Real-time data streams into your UI with Vercel AI SDK.

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Connect Uscreen MCP to Vercel AI SDK

Create your Vinkius account to connect Uscreen 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 Uscreen with Vercel AI SDK

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Displaying Uscreen Customer Data Live

Need to show a customer's details as the user types? You can call `get_customer` and stream that data directly into your React component. The end user sees the profile information populating in real time, avoiding any clunky loading spinners. This is perfect for building interactive dashboards where the speed of response matters. Your AI client streams the result right to the browser's DOM, making it feel instant.

Listing Uscreen Content Catalogues

Build a dynamic content listing page using `list_content` and `get_collection`. Instead of waiting for a huge API response, your AI client streams the collection list chunk by chunk into Next.js. This makes the entire experience feel snappy, even with thousands of items. Developers love this approach because it keeps the user engaged. The data appears live in the UI as the agent processes it, giving you total control over the presentation layer.

Verifying Uscreen API Health Status

Before your application runs any complex logic, check the connection first. Use `check_uscreen_status` to verify API connectivity instantly. This simple tool confirms that everything is up and running before you let the user interact with anything. This lightweight call fits perfectly into an Edge Function flow. You get immediate confirmation, which keeps your application stable and predictable from the moment it launches.

Setup guide

Set up Uscreen 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 Uscreen 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 Uscreen transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uscreen. 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 Uscreen MCP in Vercel AI SDK

The MCP Server exposes all Uscreen tools directly to the Vercel AI SDK. This means your agent can access endpoints like `list_products` and stream that inventory data straight into a user-facing React component.

Absolutely. You can call `list_transactions` through your AI client, which streams all the listing results directly to the UI. This is great for building live financial reporting tools.

This MCP Server touches several data types, including `customer` records, `content` metadata, and `collection` details. You can access these specific payloads live in your application's front end.

It’s really fast. Because the results stream directly into your frontend framework (Next.js or Svelte), you skip the loading spinner bottleneck and get real-time data visualization.

The Vercel AI SDK supports `authProvider` for OAuth, so connecting your application to Uscreen is straightforward. You'll use the provided endpoint token for secure access.

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