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Beehiiv MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Beehiiv through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Beehiiv, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Beehiiv MCP Server

Connect your Beehiiv account to any AI agent and empower it to operate your entire newsletter growth engine, analyzing open rates, verifying automated sequences, and maintaining audience health directly from chat.

The Vercel AI SDK gives every Beehiiv tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Subscribers & Audience — Browse email lists, fetch UTM acquisition params, and explicitly register new subscribers with single commands
  • Post Metadata & Content — Retrieve pure HTML payloads of delivered newsletters and paginate through full historical posts
  • Real-Time Analytics — Generate comprehensive overviews of account-level performance, highlighting macroscopic open and click rates
  • Segments & Automations — Explore active internal audience segments and conditional email logic chains dynamically
  • Publication Topology — Investigate overriding active metrics linking directly to your organization's core structure

The Beehiiv MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Beehiiv to Vercel AI SDK via MCP

Follow these steps to integrate the Beehiiv MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Beehiiv and passes them to the LLM

Why Use Vercel AI SDK with the Beehiiv MCP Server

Vercel AI SDK provides unique advantages when paired with Beehiiv through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Beehiiv integration everywhere

03

Built-in streaming UI primitives let you display Beehiiv tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Beehiiv + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Beehiiv MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Beehiiv in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Beehiiv tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Beehiiv capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Beehiiv through natural language queries

Beehiiv MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Beehiiv to Vercel AI SDK via MCP:

01

create_subscription

Register a new subscriber explicitly

02

get_post

Retrieve explicit content of a specific Post

03

get_post_stats

Get aggregated post performance statistics

04

get_publication

Get specific Beehiiv publication metadata

05

get_subscription

Get exact details of a Beehiiv subscription

06

list_automations

List native conditional email journeys

07

list_posts

List explicit newsletter posts natively published

08

list_publications

List active Beehiiv publications

09

list_segments

List specific internal Beehiiv segments

10

list_subscriptions

List specific Beehiiv active subscribers

Example Prompts for Beehiiv in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Beehiiv immediately.

01

"List my recent newsletter publications and ID formats."

02

"Check overall open and click stats for my account."

03

"Subscribe alex@example.com to my newsletter right now."

Troubleshooting Beehiiv MCP Server with Vercel AI SDK

Common issues when connecting Beehiiv to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Beehiiv + Vercel AI SDK FAQ

Common questions about integrating Beehiiv MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Beehiiv to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.