How to Use the Zenloop MCP in Vercel AI SDK

Q: Can I use Zenloop's survey tools with Vercel AI SDK?

Absolutely. You can call every core function—like createlinkanswer or listsurveys—and stream the output right into your front end.

Q: Does the MCP Server support filtering answers with Vercel AI SDK?

Yes. When listing results using listsurveyanswers, you can pass date filters, which is crucial when building time-based dashboards into your app.

Stream survey responses into your React UI with Vercel AI SDK.

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Connect Zenloop MCP to Vercel AI SDK

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

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Real-time Survey Response Creation

Use `create_email_answer` to build a new survey response for an Email Embed channel. Your client sees the data appear instantly in the UI; no loading spinner needed. You can also write responses for other formats, like using `create_embed_answer` for Website Embed channels or `create_overlay_answer` when dealing with a Website Overlay.

Getting Account and Survey Details

Need to know what Zenloop has? Call `get_account_details` to fetch current account information. You can also use `get_survey_details` to grab all the specific info about any survey in your system. This helps you pre-populate fields before streaming answers, keeping the user experience fast and fluid.

Listing Survey Responses via MCP Server

The `list_survey_answers` tool lets you pull responses for a survey. You can even filter these results by date range, which is huge for debugging or showing trends. This data flows directly through your Vercel AI SDK agent, meaning the UI updates as soon as the list of answers is ready.

Setup guide

Set up Zenloop 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 Zenloop 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 Zenloop 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 Zenloop. 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 Zenloop MCP in Vercel AI SDK

It streams the data live. When your agent calls a tool, the results appear in the UI as they come through, making it look like magic to the end user.

Absolutely. You can call every core function—like `create_link_answer` or `list_surveys`—and stream the output right into your front end.

You get account details, specific survey metadata, and actual customer responses. The client handles this streaming for a great user experience.

Yes. When listing results using `list_survey_answers`, you can pass date filters, which is crucial when building time-based dashboards into your app.

The server handles survey responses and account details. You control the endpoint token needed for secure access.

Use it with your favorite AI tools

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

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