How to Use the GetResponse MCP in Vercel AI SDK

Q: How do I connect the GetResponse MCP Server to Vercel AI SDK?

Install @ai-sdk/mcp. You initialize it with createMCPClient, passing the Vinkius endpoint. Call mcpClient.tools() and drop the result into streamText.

Q: Can Vercel AI SDK stream subscriber details from GetResponse?

Yes. When your agent calls getcontactdetails, the JSON response parses live. You can render individual subscriber fields in your React components as the data arrives.

Q: How do I check active autoresponders with GetResponse and Vercel AI SDK?

Your client triggers listactivesequences. The agent reads the available autoresponders and can present them in the UI for the user to select.

Stream GetResponse subscriber data directly into your Next.js application using the Vercel AI SDK.

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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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Stream marketing lists to your UI

Vercel AI SDK shines when the user sees data load instantly. You can connect this MCP Server and pull active campaigns straight into a React dashboard. Your agent uses `list_marketing_lists` to grab campaign IDs while streaming the output text directly to the frontend. When a user asks for specific campaign metrics, the client triggers `list_email_contacts`. The resulting subscriber counts and details render on screen without a loading spinner. It feels instant because the tool execution and UI updates happen concurrently.

Build interactive lead capture with Vercel AI SDK

You do not need a static form anymore. Your AI interface can gather context through chat and automatically push that data to GetResponse. Once the user provides an email, the agent fires `add_new_subscriber` in the background. If you need to check if they already exist, `find_contact_by_email` handles the lookup first. The agent streams a confirmation message back to the user interface the second the API returns a success code.

Verify MCP Server connections instantly

Broken API connections ruin the user experience. You can wire up a health check component that calls `get_api_status` right when the dashboard mounts. If it fails, your frontend catches the error before the user tries to submit data. The same logic applies to your landing pages. Using `list_published_pages`, the agent can pull active URLs and stream them into a dropdown menu. The user always sees live GetResponse data, never stale cache.

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

Install `@ai-sdk/mcp`. You initialize it with `createMCPClient`, passing the Vinkius endpoint. Call `mcpClient.tools()` and drop the result into `streamText`.

Yes. When your agent calls `get_contact_details`, the JSON response parses live. You can render individual subscriber fields in your React components as the data arrives.

The Vercel AI SDK catches the tool error. You can configure the agent to stream a fallback message asking the user to verify their email format before retrying.

Your client triggers `list_active_sequences`. The agent reads the available autoresponders and can present them in the UI for the user to select.

The server processes raw email addresses and custom field data via `list_contact_fields`. Vinkius runs the execution in a V8 Isolate Sandbox that instantly destroys itself after the tool call completes. No contact data persists in memory.

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