How to Use the Zenloop MCP in OpenAI Agents SDK

Q: Can I list all available surveys using Zenloop and OpenAI Agents SDK?

Yep. Just call the listsurveys tool. It gives you a roster of every survey configured in Zenloop, letting your agent decide which one needs attention.

Q: What happens if I need to create a new response using Zenloop and OpenAI Agents SDK?

The system provides multiple creation paths. You can use createemailanswer, createembedanswer, or the other methods, depending on where the customer originally submitted their feedback.

Q: Does Zenloop support filtering results when using OpenAI Agents SDK?

Absolutely. When you call listsurveyanswers, you can filter by date. This means your agent only processes responses from a specific time range, saving computation and keeping the focus tight.

Manage customer feedback cycles using your OpenAI Agents SDK.

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Connect Zenloop MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zenloop to OpenAI Agents 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 OpenAI Agents SDK

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Gathering Survey Responses

You use the `list_survey_answers` tool to pull all responses for a specific survey. You can filter those results by date, so you only deal with feedback from the last week or month. Want to record a new answer? The system supports four distinct creation methods: `create_email_answer` for email embeds, `create_embed_answer` for websites, `create_link_answer` for direct links, and `create_overlay_answer` for website overlays.

Monitoring Survey Configurations

Need to know what surveys Zenloop is running? Start by calling `list_surveys`. This shows you every survey that's currently configured in your account. If you need deeper info on one specific campaign, use `get_survey_details` and pass the survey ID. It gives you all the setup details—who owns it and what its goal is.

Retrieving Account Context

Before analyzing feedback, check your credentials with the `get_account_details` tool. This pulls down your Zenloop account information so your agent knows which records to write against. This step is crucial for safety; it confirms the agent has the necessary context and permissions before attempting any data writes or reads via the MCP Server.

Setup guide

Set up Zenloop MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Zenloop tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zenloop tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zenloop tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Zenloop Agent",
            instructions="You have access to Zenloop tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Zenloop MCP in OpenAI Agents SDK

Zenloop lets your agent interact directly with customer survey answers. You use tools like `list_survey_answers` to pull the raw data, and then your specialized agents analyze that text for sentiment.

Yep. Just call the `list_surveys` tool. It gives you a roster of every survey configured in Zenloop, letting your agent decide which one needs attention.

The system provides multiple creation paths. You can use `create_email_answer`, `create_embed_answer`, or the other methods, depending on where the customer originally submitted their feedback.

Absolutely. When you call `list_survey_answers`, you can filter by date. This means your agent only processes responses from a specific time range, saving computation and keeping the focus tight.

This MCP Server handles survey answers and account information. Specifically, it deals with NPS feedback and various structured survey answer records.

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