How to Use the Venue MCP in OpenAI Agents SDK
Build production event agents with OpenAI Agents SDK that manage venue logistics.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Venue MCP to OpenAI Agents SDK
Create your Vinkius account to connect Venue 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.
Scheduling Event Logistics with MCP Server
Need to plan a conference? Your agent calls `list_events` first. This shows you all upcoming virtual events, helping you pick the right date and space. It also handles setup: You can call `create_event` to book the new meeting time directly through your agent's workflow.
Tracking Attendee Data via OpenAI Agents SDK
Want to know who showed up? The tool `list_event_registrations` gives you a list of all attendees for any given event. It’s quick and direct. For deeper dives, your agent can use `get_event_analytics`. This function pulls engagement metrics that tell you how well the content landed.
Managing Speakers and Sessions
The MCP Server makes finding speakers easy. Calling `list_speakers` gives you a roster of available talent. You can then use `create_speaker` to register them for your specific event. It also keeps track of the content itself; `list_event_sessions` shows exactly what topics were covered during an event.
Set up Venue 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 Venue tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Venue tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Venue 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="Venue Agent",
instructions="You have access to Venue 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 Venue. 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.
Why Choose Vinkius
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Real-time monitoring
Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Venue MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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