How to Use the Zengain MCP in OpenAI Agents SDK

Q: How do I use Zengain analytics in my OpenAI Agents SDK?

Your agent calls getanalyticssummary to pull high-level business metrics. This summary shows key performance indicators without needing complex SQL queries, keeping your deployment simple.

Q: Can the OpenAI Agents SDK list user data for Zengain?

Yes. You can call listusers to get a roster of all product users. This ensures your agent has visibility into who is currently using Zengain's services.

Q: Does the MCP Server support webhook configuration with OpenAI Agents SDK?

Absolutely. You can use listwebhooks to see what endpoints are already set up for notifications. This helps your agent manage and audit how external systems communicate back into Zengain.

Q: If I need product info, which tool should my OpenAI Agents SDK use?

You'll want getproduct or listproducts. Use getproduct when you know the specific item ID and just need its details. Otherwise, listproducts shows everything.

Q: What data type does Zengain touch regarding privacy?

This MCP Server touches User data through tools like getuserdetails and listusers. Your agent must handle this information according to your internal compliance rules.

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Connect Zengain MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zengain 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 Zengain with OpenAI Agents SDK

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Analyze Customer Health Score with MCP Server

The `get_health_score` tool reads a customer's current health score. Your agent can check this metric immediately, telling your user whether the account is at risk or stable. This function helps you prioritize outreach. Instead of guessing which accounts need attention, your AI client gets concrete data points before sending an alert.

Track and List Custom Events

Your agent can use `track_event` to log user actions in real time. You'll also get `list_events` so you can audit all tracking events the system processed. This is great for understanding visitor behavior. Your client doesn't just guess what happened; it reads a list of recorded interactions, which is necessary for building accurate usage profiles.

Retrieve Detailed User and Product Info

`get_user_details` pulls specific information about any user ID. Complementing that, `list_products` gives you a full list of all Zengain products available. Your agent can cross-reference this data set. For example, it checks if a given user is associated with a product type and then fetches the details for that specific item.

Setup guide

Set up Zengain 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 Zengain tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zengain 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="Zengain Agent",
            instructions="You have access to Zengain 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 Zengain MCP in OpenAI Agents SDK

Your agent calls `get_analytics_summary` to pull high-level business metrics. This summary shows key performance indicators without needing complex SQL queries, keeping your deployment simple.

Yes. You can call `list_users` to get a roster of all product users. This ensures your agent has visibility into who is currently using Zengain's services.

Absolutely. You can use `list_webhooks` to see what endpoints are already set up for notifications. This helps your agent manage and audit how external systems communicate back into Zengain.

You'll want `get_product` or `list_products`. Use `get_product` when you know the specific item ID and just need its details. Otherwise, `list_products` shows everything.

This MCP Server touches **User** data through tools like `get_user_details` and `list_users`. Your agent must handle this information according to your internal compliance rules.

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