How to Use the Campaign Monitor MCP in Vercel AI SDK

Q: Can my agent manage multiple Campaign Monitor clients with the Vercel AI SDK?

Yes. The listclients tool gives you a list of all clients in your account. Your agent can then iterate through them to perform actions, like pulling campaigns for each one using listcampaigns.

Q: Is it possible to view Campaign Monitor email templates using the Vercel AI SDK?

Absolutely. The listemailtemplates tool is included. Your agent can call it to get a list of available templates for a specific client, which you can then display in your application's UI.

Q: What kind of dashboards can I build?

You can build real-time performance dashboards. Use getcampaignperformance to feed live open, click, and bounce rates into charts. Since the AI SDK streams data, your charts will update without needing a full refresh.

Stream Campaign Monitor data directly into your app's UI. The Vercel AI SDK lets you build frontends that show live results, not loading spinners.

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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.

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Setup Campaign Monitor with Vercel AI SDK

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Live-Stream Campaign Data to Your UI

Pull your Campaign Monitor stats directly into your frontend components. When you call tools like `list_campaigns` or `list_subscribers`, the Vercel AI SDK streams the data right into your UI. Your users will see tables and lists populate in real time. This makes your application feel incredibly fast. Instead of waiting for a full API response, you can render data as it arrives from the MCP server. It's perfect for building live dashboards that show campaign performance or for displaying contact lists that update instantly.

Build Interactive Marketing Tools

Let users drill down into specifics without a page refresh. When someone clicks a campaign in your app, your agent can call `get_campaign_performance` and instantly display its open rates. The same goes for fetching list details with `get_contact_list` or client info with `get_client_details`. You're not just showing data; you're building a responsive experience. The AI fetches exactly what the user asks for, right when they ask for it. This turns a static report into an interactive tool your team will actually use.

Add Subscribers from Any Frontend

Your app can now write data back to Campaign Monitor. Just connect a form in your React or Svelte project to an agent that uses the `add_subscriber` tool. When a user signs up, the AI handles the API call for you. This simplifies building things like lead capture forms or internal admin panels. You focus on the user interface, and the AI SDK uses this MCP connection to handle the backend logic. No more writing boilerplate API integration code.

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.

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Common questions about Campaign Monitor MCP in Vercel AI SDK

First, install the AI SDK and the MCP client. Then, point it to your Vinkius endpoint for this Campaign Monitor server. You can immediately pass the tools to the `generateText` or `streamText` functions to start making calls.

Yes. The `list_clients` tool gives you a list of all clients in your account. Your agent can then iterate through them to perform actions, like pulling campaigns for each one using `list_campaigns`.

Absolutely. The `list_email_templates` tool is included. Your agent can call it to get a list of available templates for a specific client, which you can then display in your application's UI.

You can build real-time performance dashboards. Use `get_campaign_performance` to feed live open, click, and bounce rates into charts. Since the AI SDK streams data, your charts will update without needing a full refresh.

Your Campaign Monitor data, including subscriber lists and campaign performance metrics, is only accessed for the duration of a tool call. Vinkius runs each MCP server in an ephemeral sandbox, so the data is processed in memory and immediately discarded. Nothing is logged or stored.

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