How to Use the Alai MCP in Vercel AI SDK

Q: How do I connect Alai to the Vercel AI SDK?

Install @ai-sdk/mcp and initialize it with createMCPClient. Point the HTTP transport URL to your Vinkius endpoint.

Q: Can the Vercel AI SDK stream Alai image generations?

You pass the generatecontent tool to streamText. The SDK pushes the tool call status directly to your React components while the server processes the portrait.

Stream Alai campaign assets directly into your React or Next.js frontend using the Vercel AI SDK.

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Connect Alai MCP to Vercel AI SDK

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

Ask AI about this MCP

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Generate Marketing Assets via Vercel AI SDK

Alai handles the heavy lifting of turning selfies into studio-quality business portraits while your frontend streams the progress. You trigger `generate_content` from your Edge function and the user watches the headshot render live in their browser. Waiting for image generation usually means staring at a spinner. Passing the `create_asset` tool to `streamText` changes that dynamic completely, pushing real-time UI updates as the marketing payload builds.

Campaign Management on the Edge

Alai gives your marketing dashboard instant feedback via the MCP Server. Your Next.js app calls `list_campaigns` and `get_campaign` to populate client-side tables the moment a marketer logs in. When a user decides to launch a new initiative, `create_campaign` fires off immediately. The Vercel AI SDK pipes the confirmation back to the frontend without blocking the main thread.

Real-Time Content Generation

Alai provides specific templates to match corporate branding. You grab the available styles using `list_templates` and let the end user pick their preferred look right in the UI. Once they approve the mockup, `get_generation` tracks the final render status. Your application keeps pulling updates until the high-resolution asset is ready for download.

Setup guide

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

Install `@ai-sdk/mcp` and initialize it with `createMCPClient`. Point the HTTP transport URL to your Vinkius endpoint.

You pass the `generate_content` tool to `streamText`. The SDK pushes the tool call status directly to your React components while the server processes the portrait.

Yes. You can fetch campaigns and trigger asset creation from Edge functions without timeouts. Just remember to call `mcpClient.close()` when the execution finishes.

Vinkius handles the underlying server authorization. You pass your single endpoint token through the transport configuration when setting up the client.

The server processes raw photo uploads and template selections inside a V8 Isolate Sandbox. Memory wipes completely after the portrait generates, leaving no persistent trace of the user's face.

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