How to Use the Eventzilla MCP in OpenAI Agents SDK

Q: Can I use Eventzilla tools in my OpenAI Agents SDK workflow?

Absolutely. You can call functions like listallevents to dynamically route requests based on the specific event ID returned.

Get real-time registration data into your OpenAI Agents SDK pipeline. Stop manual dashboard checks and automate your event tracking.

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Connect Eventzilla MCP to OpenAI Agents SDK

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

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Instant event performance tracking

Use `get_event_performance_summary` to pull live metrics directly into your agent's decision loop. You get the numbers you need without leaving your Python environment. This tool feeds the data your agents require to trigger automated marketing shifts. It's built for production pipelines where speed and accuracy define the outcome.

Audit ticket volume for your agent

The `quick_event_volume_audit` tool gives your agent a snapshot of current registration health. It cuts through the noise to show you exactly where your ticket counts stand. Your OpenAI Agents SDK instance can now flag anomalies in real-time. It's a direct line to your sales data without the overhead of manual reporting.

Deep dive into order history

Use `list_event_ticket_orders` to parse transaction history for any specific event. Your agent processes these lists to identify trends or verify individual payments. This MCP server provides the raw data your system needs to handle customer inquiries effectively. It keeps your agent informed with accurate, up-to-date order records.

Setup guide

Set up Eventzilla 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 Eventzilla tools at runtime.
3

Create your Agent

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

Run the agent

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

You connect by passing the MCP server as a list to your Agent constructor. Just use the provided endpoint and let the SDK handle the discovery of all 10 tools.

Yes, it integrates perfectly. Every tool response is passed through your agent's validation layer before any action is taken.

Absolutely. You can call functions like `list_all_events` to dynamically route requests based on the specific event ID returned.

The server returns attendee lists based on API pagination. You'll want to implement a loop in your agent code to handle larger datasets.

The server operates on a zero-trust model. It only accesses the specific event attendee information you explicitly request via your API token.

Use it with your favorite AI tools

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