How to Use the Zenloop MCP in Mastra AI

Q: Can Mastra AI handle multiple data types from Zenloop?

Yes. You can sequence actions that pull getsurveydetails followed by using createoverlayanswer, all within one resilient, multi-step job.

Build complex, resilient workflows with Mastra AI's robust MCP Server capabilities.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Zenloop MCP to Mastra AI

Create your Vinkius account to connect Zenloop to Mastra AI 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 Zenloop with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automating Survey Response Creation

Use `create_email_answer` to programmatically build survey responses for an Email Embed channel. This is perfect for multi-step workflows where you need to automatically close the loop. You can extend this logic using other tools, such as sending a link answer via `create_link_answer` if the initial email response requires follow-up.

Managing Zenloop Survey Data with MCP Server

Need to know what surveys exist? The `list_surveys` tool lists all configured options. This allows your Mastra AI agent to check prerequisites before running a complex workflow. When you get account details using `get_account_details`, the system validates that the necessary credentials are available for subsequent steps.

Batch Processing and Filtering Responses

The `list_survey_answers` tool lets your workflows pull batches of responses. You can filter these answers by date to process only recent feedback. This is a core feature for complex retries; you might need to check the last 7 days' worth of data before attempting a payment method change.

Setup guide

Set up Zenloop MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Zenloop tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "zenloop-mcp-client",
  servers: {
    "zenloop-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Zenloop Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Zenloop tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Zenloop transactions"
);
console.log(result.text);

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 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Zenloop 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 Zenloop MCP in Mastra AI

Mastra AI treats the MCP Server as an atomic step in its workflow. It handles the tool calls, managing retries and conditional logic around the survey operations.

Yes. You can sequence actions that pull `get_survey_details` followed by using `create_overlay_answer`, all within one resilient, multi-step job.

Mastra AI automatically handles retries and backoff when calling any Zenloop tool. If a response fails, your workflow doesn't crash; it tries again or notifies an admin.

You can work with NPS feedback and all structured survey answers by calling `list_survey_answers` and filtering the results.

The server exposes account information, including general user account details accessed via `get_account_details`, which is necessary for workflow 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