How to Use the Accelevents MCP in OpenAI Agents SDK

Connect your OpenAI Agents SDK to Accelevents to pull attendee lists and session schedules directly into your production agent pipeline.

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Connect Accelevents MCP to OpenAI Agents SDK

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

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Manage event data in OpenAI Agents SDK

Your agent can grab attendee lists and ticket types using `list_attendees` without leaving your Python code. It handles the request to the Accelevents API and feeds the raw response straight into your agent's context memory. You'll avoid manual exports by calling `list_events` to keep your agent updated on current or past events. It puts the event metadata where your agent can actually see it.

Track exhibitor info via MCP Server

Pull company details for any event using `list_exhibitors`. Your code gets the list of participants and their specific booth info in a structured format ready for processing. This keeps your agent logic clean. It talks to the server, gets the data, and moves on without extra overhead.

Automate session schedules

Feed your agent the full conference agenda by using `list_sessions`. It pulls the schedule, session tracks, and timing directly from Accelevents. Your agent parses this data to answer attendee questions or build custom itineraries. It turns raw event logs into actionable insights for your users.

Setup guide

Set up Accelevents 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 Accelevents tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

Get your connection token →

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Common questions about Accelevents MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class with your endpoint. The SDK auto-discovers all four tools, allowing your agent to call them immediately without writing custom parsing logic.

Yes, but watch your token limits. Since this MCP Server delivers data directly into your agent's context, keep your queries specific to the event URL to avoid pulling unnecessary records.

Vinkius handles the transport security while your agent enforces internal guardrails. No data is stored on our servers, and your agent only accesses what the API returns based on your provided token.

The server will reflect the change in the tool schema immediately. Your agent will detect the new structure during its next discovery phase, preventing runtime crashes.

Your event data stays in memory during the agent's execution. We use isolated ephemeral environments for every session, ensuring no attendee PII persists after the connection closes.

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