How to Use the Eventbrite MCP in OpenAI Agents SDK

Q: How does OpenAI Agents SDK connect to this Eventbrite MCP server?

You instantiate an MCPServerStreamableHttp object with the server URL provided by Vinkius. Pass that into your Agent constructor. The tools are discovered automatically, so you can start prompting your agent to use them immediately.

Q: What's the best way to list all Eventbrite attendees using OpenAI Agents SDK?

Your agent should call listeventattendees and be prepared to handle paginated results. The underlying server returns data in chunks, so your agent's logic needs to loop until it has received all pages of the attendee list.

Q: How is my Eventbrite attendee and order data protected with OpenAI Agents SDK?

Your data, specifically attendee lists from listeventattendees and transaction details from listeventticketorders, is passed from Vinkius's ephemeral sandbox directly to your agent. It's not stored long-term on the MCP server, and access is controlled by your unique Vinkius token.

Build production-grade agents with OpenAI Agents SDK to manage your Eventbrite operations from end to end.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Eventbrite MCP to OpenAI Agents SDK

Create your Vinkius account to connect Eventbrite 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.

GDPR Free for Subscribers

Setup Eventbrite with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get a live view of your events

Right. So you need to know what's happening, right now. Your agent can use `list_currently_live_events` to get a snapshot of every event on sale. No more digging through the Eventbrite dashboard between meetings. Combine that with `get_event_performance_summary` for a specific event. Your agent gets ticket counts, sales volume, and page views. The OpenAI SDK's guardrails mean you can build an agent that reports this data without giving it the power to accidentally cancel something.

Audit your entire Eventbrite account

Give your agent a simple prompt: "Give me the 10,000-foot view." It can use `list_my_organizations` to see what teams you're on, then run `quick_event_volume_audit` for each one. You get a high-level summary of all upcoming events and total attendance in seconds. This is where agent handoffs come in. One agent gets the big picture, then passes a specific event ID to a specialized agent that uses `get_event_detailed_data` to pull the full configuration. This isn't for games; it's how you build a real, multi-agent operations team.

Manage attendees and orders with this MCP Server

After the sale, the real work starts. Your agent can pull complete attendee lists for an event with `list_event_attendees`. This gives you names, emails, and ticket types for check-in lists or follow-up messages. To reconcile financials, the agent uses `list_event_ticket_orders`. This tool fetches every transaction, including discounts and fees. You'll need to build your agent's logic to handle pagination, since this MCP server fetches orders in batches.

Setup guide

Set up Eventbrite 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 Eventbrite tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Eventbrite 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="Eventbrite Agent",
            instructions="You have access to Eventbrite tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Eventbrite. 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 Eventbrite 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 Eventbrite MCP in OpenAI Agents SDK

You instantiate an `MCPServerStreamableHttp` object with the server URL provided by Vinkius. Pass that into your Agent constructor. The tools are discovered automatically, so you can start prompting your agent to use them immediately.

You can build an agent for monitoring and reporting in real time. However, due to Eventbrite's API rate limits, you shouldn't use an agent for high-volume, live ticket sales. Stick to Eventbrite's native interface for the actual purchase transaction.

Your agent should call `list_event_attendees` and be prepared to handle paginated results. The underlying server returns data in chunks, so your agent's logic needs to loop until it has received all pages of the attendee list.

No. This toolset is focused on reading and monitoring data. You can list events, get performance data, and view attendees, but creating or modifying events must be done in Eventbrite directly.

Your data, specifically attendee lists from `list_event_attendees` and transaction details from `list_event_ticket_orders`, is passed from Vinkius's ephemeral sandbox directly to your agent. It's not stored long-term on the MCP server, and access is controlled by your unique Vinkius token.

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