How to Use the Eventmaker MCP in OpenAI Agents SDK
Build production-ready event management workflows by connecting Eventmaker to the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Eventmaker MCP to OpenAI Agents SDK
Create your Vinkius account to connect Eventmaker 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.
Track check-ins and audit engagement.
The `list_event_checkins_log` tool feeds live attendee arrival data directly to your OpenAI agent. You can monitor the registration desk in real time without manually exporting CSVs. When lines get long, the agent reads the log and triggers alerts. For broader metrics, your agent runs `quick_event_engagement_audit`. This pulls a high-level summary of participants and check-ins. If you configure a specialized analytics agent, it cross-references these numbers against your expected headcount and hands off the report to your operations team.
Manage event sessions inside OpenAI Agents SDK.
The `list_event_sessions` tool maps out your entire daily schedule for the agent. Instead of guessing when a room opens up, your code checks the exact timing and location of every keynote. You just ask the agent what is happening next. You also get full visibility into the expo floor via `list_event_exhibitors`. The agent pulls partner names, booth assignments, and contact details. Built-in guardrails ensure the agent only queries data for the specific event ID you pass, preventing accidental leaks across different conferences.
Pull detailed performance stats autonomously.
Your agent fetches high-level metrics using the `get_event_performance_stats` tool. This operation returns exact figures on ticket sales, attendance rates, and overall engagement. You wire this into your daily reporting pipeline. To keep API usage in check, the agent calls `get_eventmaker_account_metadata`. It checks your account limits before running massive queries. Tracing via the OpenAI dashboard shows you exactly when the agent hit the Eventmaker MCP Server and how long the request took.
Set up Eventmaker MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Eventmaker tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Eventmaker tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Eventmaker tools and returns structured results. Copy the full example on the right to get started.
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="Eventmaker Agent",
instructions="You have access to Eventmaker tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Eventmaker. 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.
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Common questions about Eventmaker MCP in OpenAI Agents SDK
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