How to Use the Novu MCP in Vercel AI SDK

Stream Novu notification data directly into your Vercel AI SDK frontends for real-time user updates without the loading spinners.

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…and any MCP-compatible client

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Connect Novu MCP to Vercel AI SDK

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

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Trigger workflows from your UI

Your AI client executes `trigger_event` to send notifications immediately when a user hits a button. The result flows back to your React or Svelte component instantly. Stop waiting for backend round-trips. By using `trigger_bulk_event`, you handle batch operations that keep your interface responsive and snappy.

Manage subscribers via AI-SDK

Create and update user profiles on the fly using `create_subscriber` and `update_subscriber`. You maintain user data integrity without leaving your application code. Your application state stays synced with Novu records. Use `get_subscriber_preferences` to fetch current settings and display them to the user in real-time.

Control message delivery logic

Handle complex notification cycles by calling `cancel_trigger` when a user resolves an issue before the alert sends. This keeps your communication clean. Deploy custom logic for environment variables using `create_environment_variable` or `list_environment_variables`. Your AI client handles the configuration management directly in your edge functions.

Setup guide

Set up Novu 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 Novu 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 Novu 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 Novu. 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.

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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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lower AI costs

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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 Novu MCP in Vercel AI SDK

Install the necessary packages and initialize the client using your endpoint. You then pass the server tools into your streamText call to connect your AI agent to the Novu API.

Yes. The transport layer supports HTTP, making it compatible with Edge Functions for low-latency notification dispatching.

Absolutely. Since the MCP tools stream results, you can map the output of `list_messages` directly into your UI components as the data arrives.

We enforce strict transport security and require an endpoint token for every request. This MCP server handles subscriber PII by only transmitting data required for specific tool execution.

The server returns a standard error code that your agent handles immediately. You can implement retry logic within your application flow to ensure notification delivery.

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