How to Use the Campaign Monitor MCP in Vercel AI SDK

Q: How do I connect Campaign Monitor to Vercel AI SDK?

Install the @ai-sdk/mcp package in your project. Set up the MCP client with createMCPClient, point it at the Vinkius endpoint, and pass the tools into your streamText function.

Connect Campaign Monitor to Vercel AI SDK and stream live email marketing metrics straight into your React components.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Campaign Monitor MCP to Vercel AI SDK

Create your Vinkius account to connect Campaign Monitor 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 Campaign Monitor with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream Campaign Monitor stats into your UI

Streaming email marketing metrics directly to users beats waiting for dashboards to load. Hook up `get_campaign_analytics` through Vercel AI SDK, and those open rates stream directly into your frontend. No spinners. The data just appears on the screen as the LLM processes the request. This changes how marketers interact with their data. Instead of digging through menus, they ask your Next.js app how the latest newsletter performed. The agent calls `list_sent_campaigns`, grabs the IDs, and pipes the performance numbers right back to the user in real time.

Manage lists without leaving the app

Managing marketing lists directly from your chat interface saves you from bouncing between tabs. You fix that friction by wiring up `add_subscriber` to a simple chat input. Your user types a command, and the agent handles the API call in the background. You get instant visual feedback too. When a user asks for a specific profile, the Vercel AI SDK streams the output from `get_subscriber_details` directly into a custom React component. It feels instantaneous.

Auto-discover accounts via this MCP Server

Auto-discovering account IDs keeps your agent from relying on hardcoded variables. Expose `list_clients` to your AI, and it maps out the entire account structure before taking action. It builds context entirely on its own. Once it knows the client, it pulls the available segments using `list_subscriber_lists`. The model figures out exactly where a new signup belongs without you writing custom routing logic.

Setup guide

Set up Campaign Monitor 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 Campaign Monitor 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 Campaign Monitor 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 Campaign Monitor. 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 Campaign Monitor 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 Campaign Monitor MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package in your project. Set up the MCP client with `createMCPClient`, point it at the Vinkius endpoint, and pass the tools into your `streamText` function.

Yes. The SDK handles the streaming automatically. When the model calls tools like `get_list_statistics`, the response flows straight into your UI components.

It runs perfectly on the Edge. You just initialize the MCP client, make your calls, and remember to fire `mcpClient.close()` when the stream finishes.

Vinkius manages the actual API credentials. You just pass your single endpoint token through the `authProvider` config when setting up the HTTP transport.

Vinkius runs the server in an isolated V8 sandbox. When your app reads `get_subscriber_details` or pulls campaign performance, that information passes through an ephemeral environment that vanishes immediately after execution.

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