How to Use the Corsizio MCP in OpenAI Agents SDK
Manage your event registrations directly in your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Corsizio MCP to OpenAI Agents SDK
Create your Vinkius account to connect Corsizio 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.
Automated event data for OpenAI Agents SDK
Stop manual data entry and let your agent query ticket sales or attendee rosters directly. Use `list_events` or `list_attendees` to pull real-time registration stats into your decision logic. Your production agent monitors these endpoints to trigger follow-up tasks. It pulls specific records like `get_attendee_details` to verify registration status before it executes any downstream action.
Track instructor and payout status
Keep your backend current by syncing instructor schedules and revenue data. The agent calls `list_instructors` and `list_payouts` to reconcile your financial records without human intervention. This MCP Server provides the raw data your agent needs to build internal reports. It keeps your event logistics accurate by querying `list_event_locations` for every upcoming class.
Analyze participant feedback
Let your agent scan through attendee comments to find patterns in your event performance. By calling `list_event_feedback`, you get the raw text needed for your agent to summarize sentiment. It handles the heavy lifting of sorting through event categories. Your agent uses `list_event_categories` to organize the data before it presents a summary in your dashboard.
Set up Corsizio 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 Corsizio tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Corsizio tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Corsizio 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="Corsizio Agent",
instructions="You have access to Corsizio 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 Corsizio. 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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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
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Single dashboard
One
place for every integration
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Common questions about Corsizio MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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