How to Use the Audienceful MCP in Vercel AI SDK

Q: Can the Vercel AI SDK track Audienceful automation triggers?

Yes, you can monitor the execution of triggerautomation by passing the tool output back into your stream. This keeps your user informed about the marketing progress.

Q: How do I manage subscriber fields with the Vercel AI SDK?

Invoke listcustomfields to inspect your current schema. You can then use createcustomfield to add new attributes dynamically.

Push Audienceful subscriber data straight to your React UI with the Vercel AI SDK.

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Connect Audienceful MCP to Vercel AI SDK

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

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Stream audience data directly to your frontend

Use `list_people` to pull subscriber lists into your application state without waiting for batch processing. Your interface updates as the data hits your client. Updating profiles happens instantly with `update_person`. You get real-time feedback in your Vercel AI SDK components the moment the server responds.

Automate subscriber management in your code

Trigger specific marketing flows using `trigger_automation` based on user behavior inside your app. It handles the logic while your UI remains responsive. Managing custom attributes is straightforward with `create_custom_field`. You define the schema your application needs and the MCP server handles the storage.

Handle subscriber records within your edge functions

Add new leads during the checkout process by calling `create_person`. It ensures your audience grows as your sales happen. If you need to clean up your database, `delete_person` removes records permanently. Use this cautiously within your Vercel AI SDK environment to avoid accidental data loss.

Setup guide

Set up Audienceful 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 Audienceful 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 Audienceful transactions",
});

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

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Common questions about Audienceful MCP in Vercel AI SDK

Connect the server via the HTTP transport in your edge function. Call `list_people` through your agent tools to return the raw data directly to your component.

Yes, you can monitor the execution of `trigger_automation` by passing the tool output back into your stream. This keeps your user informed about the marketing progress.

It works natively because the MCP protocol handles the streaming handshake. You get the results injected into your UI components as they arrive.

Invoke `list_custom_fields` to inspect your current schema. You can then use `create_custom_field` to add new attributes dynamically.

The server only exposes the specific subscriber email addresses and custom field values you authorize. Your Vercel AI SDK instance communicates over encrypted channels to keep this PII secure.

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