How to Use the Benchmark Email MCP in Vercel AI SDK

Q: How do I stream Benchmark Email contact counts using Vercel AI SDK?

Use listcontactlists inside your streamText call to pull list sizes. The Vercel AI SDK handles the async stream, rendering list counts on your page as they come from the server.

Q: Can I use Vercel AI SDK to draft campaigns with Benchmark Email templates?

Yes. Your agent calls listtemplates to find layout IDs, then uses that data to structure drafts. Vercel AI SDK streams the raw layout details straight to your React or Next.js frontend.

Q: Do I need to write custom API fetch wrappers for my Vercel AI SDK MCP connection?

No. You call mcpClient.tools() and pass them directly into generateText. This bypasses the need to write custom backend routes for campaign or contact management.

Stream Benchmark Email subscriber lists and campaign analytics directly into your Vercel AI SDK frontend in real-time.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Benchmark Email MCP to Vercel AI SDK

Create your Vinkius account to connect Benchmark Email 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.

GDPR Free for Subscribers

Setup Benchmark Email with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time list building in Vercel AI SDK

The `add_contact` tool inserts new subscribers into your marketing lists without forcing users to wait for page reloads. Your Vercel AI SDK application streams the contact creation process directly to the user interface, showing immediate confirmation. By pairing this with `create_contact_list`, your Next.js frontend lets users build clean, segmented lists on the fly. The MCP client updates the DOM instantly, so your users see their Benchmark Email audience grow without watching a loading spinner.

Live campaign performance dashboards

The `get_report_details` tool pulls live open rates, clicks, and bounce metrics straight into your Vercel AI SDK components. Your AI client fetches the raw campaign performance data and feeds it into your UI graphs as the data arrives. Because this MCP Server integrates directly with Edge Functions, you can display these metrics using `list_reports` without adding server latency. Your users get up-to-the-minute campaign feedback right inside your React or Svelte dashboard.

Instant template and layout previewing

The `list_templates` tool retrieves your saved layouts so your Vercel AI SDK chat interface can display them instantly to the user. Your agent scans your existing layouts and presents them as interactive UI options during a chat session. Combine this with `list_emails` to let users review their drafted campaigns side-by-side with their templates. This setup lets your frontend render draft previews on the edge, keeping the entire campaign creation loop fast and interactive.

Setup guide

Set up Benchmark Email 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 Benchmark Email 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 Benchmark Email 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 Benchmark Email. 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.

Connect Benchmark Email now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Benchmark Email MCP in Vercel AI SDK

Use `list_contact_lists` inside your `streamText` call to pull list sizes. The Vercel AI SDK handles the async stream, rendering list counts on your page as they come from the server.

Yes. Your agent calls `list_templates` to find layout IDs, then uses that data to structure drafts. Vercel AI SDK streams the raw layout details straight to your React or Next.js frontend.

The server runs on Vinkius's low-latency infrastructure, keeping execution fast. Calls like `get_email_details` complete well within the standard edge execution window.

No. You call `mcpClient.tools()` and pass them directly into `generateText`. This bypasses the need to write custom backend routes for campaign or contact management.

Vinkius runs the server in an isolated, zero-trust V8 sandbox. Your API keys, subscriber contacts, and campaign reports never persist on disk and are wiped immediately after the session ends.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript