How to Use the GetResponse MCP in Vercel AI SDK

Q: Can I stream GetResponse newsletter metrics directly to a React component using Vercel AI SDK?

Yes, that is the primary benefit of this setup. The tool getnewsletteranalytics sends chunked JSON data directly to the SDK's text stream, letting your frontend render charts incrementally.

Q: What is the fastest way to add a contact to GetResponse using Vercel AI SDK?

Call addnewsubscriber inside your tool definition block. The SDK passes the user's email address directly to the MCP Server, which processes the subscription and returns the confirmation payload instantly.

Q: How do I check if my marketing lists are loading correctly?

Run listmarketingcampaigns to fetch your active lists. If the connection fails or returns empty, verify your credentials by invoking verifyapiconnection within your terminal or debug console.

Pipe contact updates directly into your React frontend in real time with Vercel AI SDK and this managed MCP Server.

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Connect GetResponse MCP to Vercel AI SDK

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

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Live List Monitoring with Vercel AI SDK

`list_marketing_contacts` pulls subscriber records from GetResponse and feeds them straight into your streaming UI components. You don't make your users stare at a static loading spinner while fetching list data. The SDK processes the incoming payload chunk by chunk, rendering email addresses as they arrive. If you need to verify status, `get_contact_details` runs in the same conversational loop to update individual UI cards on the fly.

Real-time Analytics Rendering

`get_newsletter_analytics` feeds raw open rates and click data directly into your live-updating dashboard blocks. Users watch campaign performance metrics load incrementally instead of waiting for a massive payload to resolve. By calling `list_marketing_newsletters` alongside this tool, your Vercel AI SDK agent can build visual comparison tables in real-time. It maps historical broadcast stats directly to the active chat response.

Instant Subscriber Syncing via MCP Server

`add_new_subscriber` commits new emails to your target marketing list directly from any conversational input box. The user enters their email, and the backend handles the registration instantly without page reloads. Running `verify_api_connection` right before the submission ensures the endpoint is alive and prevents silent form failures. This architecture keeps your frontend lightweight because Vinkius handles the underlying credentials.

Setup guide

Set up GetResponse 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 GetResponse 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 GetResponse transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GetResponse. 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 GetResponse MCP in Vercel AI SDK

You don't need to manage API keys inside your Next.js environment variables. Vinkius handles the credentials on its secure sandbox, so your Vercel AI SDK setup only needs the single MCP endpoint token to execute tools like `list_marketing_campaigns`.

Yes, that is the primary benefit of this setup. The tool `get_newsletter_analytics` sends chunked JSON data directly to the SDK's text stream, letting your frontend render charts incrementally.

Call `add_new_subscriber` inside your tool definition block. The SDK passes the user's email address directly to the MCP Server, which processes the subscription and returns the confirmation payload instantly.

Run `list_marketing_campaigns` to fetch your active lists. If the connection fails or returns empty, verify your credentials by invoking `verify_api_connection` within your terminal or debug console.

Your subscriber emails and contact metadata pass directly through an ephemeral V8 sandbox. Vinkius never stores these contact details, ensuring that list data only moves between your React frontend and the GetResponse servers.

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