How to Use the Bizzabo MCP in OpenAI Agents SDK

Build production-grade event agents using the Bizzabo MCP Server and OpenAI Agents SDK for reliable, traced event management.

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Connect Bizzabo MCP to OpenAI Agents SDK

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

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Pull attendee data into OpenAI Agents SDK

Run `list_contacts` or `list_registrations` to fetch attendee lists directly into your agent's memory. This lets your code process event data without manual exports. Your agent handles the logic while the Bizzabo MCP Server provides the raw data. You get full visibility into the execution flow through the OpenAI dashboard.

Manage event sessions via OpenAI Agents SDK

Trigger `list_sessions` or `get_session` to pull detailed agendas into your agent's context. You can now build workflows that answer attendee questions about timing or speakers. Everything happens inside your Python runtime. Since you have tool auto-discovery, adding new event management logic takes seconds.

Automate Bizzabo registration lookups

Query specific records using `get_registration` to verify attendee status in real-time. This keeps your agent informed about ticket types and event access. Safety guardrails in the SDK ensure that your agent only touches the records you approve. It's a clean way to handle sensitive attendee information.

Setup guide

Set up Bizzabo 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 Bizzabo tools at runtime.
3

Create your Agent

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

Run the agent

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

Use the MCPServerStreamableHttp class to point the agent to your Vinkius endpoint. The SDK handles the connection automatically once you include the server in your Agent constructor.

Yes, it pulls session objects directly into the agent's context. You can then use the data for automated scheduling or attendee support tasks.

Your agent runs within your own infrastructure, and Vinkius keeps the connection ephemeral. Only the data returned by specific tools reaches your agent's memory.

Not at all. The SDK auto-discovers all tools once the server is registered. You just define the transport and let the code handle the rest.

The server accesses registration details, contact names, and email addresses. We restrict the scope to the specific records required by your tools, ensuring no unnecessary data exposure.

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