How to Use the Aimtell MCP in Vercel AI SDK

Q: How do I connect Aimtell to Vercel AI SDK?

Use createMCPClient with an HTTP transport pointing to your Vinkius endpoint URL. Call mcpClient.tools() to grab the available functions and pass them directly into your generateText or streamText parameters. Always remember to call mcpClient.close() when the execution finishes.

Stream live push notification metrics directly into your React frontends using the Aimtell MCP server and Vercel AI SDK.

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Connect Aimtell MCP to Vercel AI SDK

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

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Stream Aimtell metrics via Vercel AI SDK

Pushing raw data to a dashboard usually means making users stare at loading spinners. This MCP integration flips that model on its head by streaming push notification metrics straight into your Next.js components as they resolve. Your users watch campaign click-through rates populate in real-time. You just pass the `get_campaign_performance` tool into your `streamText` configuration. The AI client pulls the analytics and immediately renders the results live on the page. Nobody waits for a bloated API response to finish before seeing how their latest broadcast performed.

Build interactive subscriber management

Managing notification audiences shouldn't require jumping between tabs. You can build internal admin panels that let your marketing team query specific users right from a chat interface. They ask about a specific device, and the frontend instantly displays the relevant metadata. Triggering `get_subscriber_details` pulls down the exact browser and engagement history for that individual. If the team needs to tag them for a specific promotion, the interface fires `add_subscriber_attribute` without breaking the conversation flow. The data updates right there in the UI.

Trigger campaigns from your frontend

Giving end-users the ability to send alerts usually involves building complex custom forms. Now you can let them describe what they want to send, and the AI handles the routing. They type a quick message, and the system maps it to the right endpoint. When someone confirms the prompt, the application executes `send_one_off_notification` to push the alert out. You can also build views that pull current active broadcasts using `list_campaigns` so they know exactly what else is running. Every action routes through your Vinkius MCP Server connection.

Setup guide

Set up Aimtell 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 Aimtell 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 Aimtell 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 Aimtell. 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.

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Common questions about Aimtell MCP in Vercel AI SDK

Use `createMCPClient` with an HTTP transport pointing to your Vinkius endpoint URL. Call `mcpClient.tools()` to grab the available functions and pass them directly into your `generateText` or `streamText` parameters. Always remember to call `mcpClient.close()` when the execution finishes.

Yes, any MCP compatible client can fire off immediate alerts. You just expose the `send_one_off_notification` tool to your prompt. The user types their message, and the AI executes the push broadcast.

Writing custom fetch wrappers and managing types takes hours. This standard protocol gives your AI instant, typed access to ten different endpoints immediately. You drop it in and start streaming responses without writing boilerplate.

It runs perfectly on the Edge. The HTTP transport layer works natively in Edge environments. You can stream subscriber data or campaign metrics to your Next.js frontend with zero cold boot delays.

Your AI client accesses raw browser metadata, engagement history, and custom subscriber tags. Vinkius isolates this execution inside a V8 sandbox that destroys itself after the request completes. No data persists in the middle layer.

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