How to Use the EventMobi MCP in OpenAI Agents SDK

Q: Can I trace EventMobi API failures inside the OpenAI Agents SDK dashboard?

Yes, every call to tools like createwebhook is logged in the OpenAI developer dashboard. You can inspect the payload sent to EventMobi and see the exact response status.

Q: How do agent handoffs work when managing EventMobi sessions in OpenAI Agents SDK?

You can write one agent to fetch tracks using listeventtracks and hand off the task to a scheduling agent. This second agent then calls createagendasession to place the session.

Q: How do I handle rate limits when pulling attendee lists?

Set cacheToolsList=True in your SDK configuration to avoid redundant schema requests. When calling listattendees, handle pagination using the native loop controls in your Python script.

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Connect EventMobi MCP to OpenAI Agents SDK

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

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Automate attendee registration with OpenAI Agents SDK

Let your OpenAI agents register new event attendees and check them in at the door. By combining `register_attendee` and `attendee_checkin` within your multi-agent architecture, the host agent can hand off the registration ticket to a specialized check-in agent. The OpenAI dashboard traces this handoff, verifying that attendee profiles match before completing the check-in. This setup eliminates manual check-in queues at hybrid events.

Dynamic agenda management via OpenAI Agents SDK

Build agents that update your event schedule in real time based on speaker availability. Your agent can call `list_sessions` to evaluate current time slots, then use `create_agenda_session` to add new workshops to the correct tracks using `list_event_tracks`. This integration lets the agent coordinate complex scheduling conflicts. Built-in guardrails in the OpenAI Agents SDK validate the parameters before the new session is pushed to the live EventMobi attendee app.

Live event engagement tracking using this MCP Server

Spin up an agent dedicated to tracking attendee interaction during live keynotes. The agent monitors active engagement by pulling live poll data with `list_live_polls` and checking challenge participation via `list_gamification_challenges`. You can watch this agent run inside the OpenAI developer dashboard. This gives you a clear view of how the MCP Server processes queries about live audience metrics during the main event.

Setup guide

Set up EventMobi 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 EventMobi tools at runtime.
3

Create your Agent

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

Run the agent

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

The SDK queries the hosted EventMobi endpoint to read the tool schemas. It registers tools like `list_events` and `get_event_details` without manual JSON schema definitions.

Yes, every call to tools like `create_webhook` is logged in the OpenAI developer dashboard. You can inspect the payload sent to EventMobi and see the exact response status.

You can write one agent to fetch tracks using `list_event_tracks` and hand off the task to a scheduling agent. This second agent then calls `create_agenda_session` to place the session.

Set `cacheToolsList=True` in your SDK configuration to avoid redundant schema requests. When calling `list_attendees`, handle pagination using the native loop controls in your Python script.

Your attendee profile details and check-in timestamps never persist on Vinkius. They pass through an isolated V8 sandbox directly to your EventMobi instance, protected by your single endpoint token.

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