How to Use the Beehiiv MCP in Vercel AI SDK

Q: How do I fetch Beehiiv posts using the Vercel AI SDK?

First, pass the tools from the MCP client to streamText. Your agent can then call listposts to get a list or getpost for a specific one. The content will stream directly into your UI components as it's received.

Q: Can I manage Beehiiv subscribers with the Vercel AI SDK?

Yes. Use the createsubscription tool to add new subscribers or getsubscription to check an existing one's status. It's perfect for building custom signup forms inside your application that feel fast and responsive.

Build live Beehiiv dashboards in your Next.js app. Stream post stats and subscriber data directly into your UI components with the Vercel AI SDK.

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Connect Beehiiv MCP to Vercel AI SDK

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

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Manage Beehiiv Data in Real-Time

Stop making your users wait for a loading spinner. With the Vercel AI SDK, your app can call Beehiiv tools like `list_posts` or `list_subscriptions` and render results as they arrive. The data appears on screen immediately, creating a much faster and more interactive experience. This works for specific actions, too. Let users grab a single post's content with `get_post` or check a subscriber's status with `get_subscription`. You can even build a UI to sign up new users that calls `create_subscription` and confirms success on the same screen, all without a page refresh.

Stream Analytics with the Vercel AI SDK

Imagine a dashboard that pulls your Beehiiv stats. When a user hits refresh, you don't show a spinner. Instead, you use the Vercel AI SDK to call `get_post_stats`, and the numbers—views, clicks, open rates—populate the dashboard live as the data streams from the MCP Server. Combine post stats with metadata from `get_publication` and `list_publications`. This gives you a complete, real-time overview of your entire Beehiiv operation, rendered directly in your React or Svelte components. It's the right way to build data-rich frontends.

Surface Your Beehiiv Automations

Your Beehiiv setup has its own internal logic, and this MCP server lets you expose it. Use `list_segments` to build a custom UI that shows exactly who is in which audience segment. It's a great way to give your team visibility without them needing to log into Beehiiv. In the same way, the `list_automations` tool gives you a window into your email journeys. You can build an interface that lists all active automations, helping your team understand the entire marketing flow without ever leaving your app.

Setup guide

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

First, pass the tools from the MCP client to `streamText`. Your agent can then call `list_posts` to get a list or `get_post` for a specific one. The content will stream directly into your UI components as it's received.

Yes. Use the `create_subscription` tool to add new subscribers or `get_subscription` to check an existing one's status. It's perfect for building custom signup forms inside your application that feel fast and responsive.

The main benefit is streaming data directly into your UI. Instead of waiting for a full API response from Beehiiv, your users see post stats, subscriber lists, and newsletter content appear in real-time. It feels instant.

No. The Vercel AI SDK works great with React, Svelte, and Vue. You can build these kinds of live Beehiiv interfaces in any of those frameworks.

Your connection is secured through your Vinkius endpoint token. This server only accesses Beehiiv data like subscriber emails, post content, and performance stats when your agent explicitly calls a tool. All operations happen in a sandboxed, ephemeral environment.

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