How to Use the Eventtia MCP in OpenAI Agents SDK

Q: How do I connect Eventtia to the OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp object with your Vinkius URL and pass it to the Agent constructor in the mcpservers list.

Q: Can the OpenAI Agents SDK cache this MCP server?

Yes. Set cacheToolsList=True when configuring the parameters. This speeds up initialization for operations like listeventspeakers and listeventsessions.

Q: Does the OpenAI Agents SDK support handoffs for Eventtia tasks?

You can build a routing agent that checks listcurrentlyliveevents and hands off the actual data extraction to a specialized reporting agent. The SDK handles the transition natively.

Q: How do I check my Eventtia account limits with this integration?

Call geteventtiaaccountmetadata. The agent reads your metadata and warns you if you approach your API limits before executing heavier tasks.

Connect the OpenAI Agents SDK to Eventtia. Build production event management agents with built-in guardrails and full execution tracing.

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Connect Eventtia MCP to OpenAI Agents SDK

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

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Read Configurations with OpenAI Agents SDK

`get_event_detailed_data` pulls specific settings and information for your event directly into your agent. It'll read the configuration and pass the exact parameters to specialized sub-agents. You'll pass the Vinkius MCP Server endpoint to `MCPServerStreamableHttp`. The SDK auto-discovers `list_all_events` and `list_currently_live_events`, letting your agent map out active schedules without hardcoded event IDs.

Audit Networking Activity

`list_event_business_meetings` extracts the B2B networking schedules for a specific event. When your agent needs to audit networking activity, it pulls the meeting records and attendee lists via `list_event_attendees`. OpenAI's guardrails validate the agent's logic before it acts on this data. If the agent tries to misinterpret the meeting density, the SDK catches the error. You get a clear trace of how the agent processed the networking data.

Draft Performance Briefs

`quick_event_engagement_audit` returns a high-level summary of attendees, sessions, and meetings in one call. Your agent uses this to draft a fast performance brief. If you need deeper metrics, the agent invokes `get_event_performance_stats`. The Vinkius endpoint handles the authentication, so your Python script just calls the tools and formats the output.

Setup guide

Set up Eventtia 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 Eventtia tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` object with your Vinkius URL and pass it to the Agent constructor in the `mcp_servers` list.

Yes. Set `cacheToolsList=True` when configuring the parameters. This speeds up initialization for operations like `list_event_speakers` and `list_event_sessions`.

You can build a routing agent that checks `list_currently_live_events` and hands off the actual data extraction to a specialized reporting agent. The SDK handles the transition natively.

Call `get_eventtia_account_metadata`. The agent reads your metadata and warns you if you approach your API limits before executing heavier tasks.

The server processes raw attendee names and B2B meeting schedules. Vinkius runs the connection inside a V8 Isolate Sandbox that destroys itself after the agent finishes the request. No data persists in the middle layer.

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