How to Use the Humanitix MCP in OpenAI Agents SDK

Q: How do I connect the Humanitix MCP Server to my OpenAI Agents SDK pipeline?

Install openai-agents and initialize MCPServerStreamableHttp with your Vinkius MCP endpoint URL. Pass this server instance directly into your Agent constructor using the mcpservers argument so your agent can auto-discover tools like listevents instantly.

Q: Does this setup support agent handoffs when handling complex ticketing issues?

Absolutely. You can build one agent that queries listattendees to find a guest, and if they have an unpaid order, hand the conversation off to a billing agent that calls listorders.

Build safe production agents that manage your ticket sales and attendee check-ins directly through the OpenAI Agents SDK.

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Connect Humanitix MCP to OpenAI Agents SDK

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

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Safe inventory tracking via OpenAI Agents SDK

The `list_inventory` tool lets your OpenAI Agents SDK setup run live ticket checks during high-volume sales without worrying about rate limits or rogue agent decisions. By pulling live counts with `list_inventory` and verifying ticket types using `list_tickets`, your agent keeps your internal database synchronized with actual ticket availability.

Audit guest lists with the Humanitix MCP Server

The `list_attendees` tool pulls the current guest roster so your OpenAI Agents SDK agent can clean up registration errors before doors open. Matching the roster against `list_orders` lets the agent flag unpaid balances or duplicate entries before doors open.

Coordinate multi-venue logistics automatically

The `list_venues` tool queries physical locations so your OpenAI Agents SDK agent can map out multi-city tour details without manual copying. The agent uses `get_event` to link specific dates to these locations, creating a clean itinerary that you can audit using OpenAI's built-in tracing dashboard.

Setup guide

Set up Humanitix 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 Humanitix tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents` and initialize `MCPServerStreamableHttp` with your Vinkius MCP endpoint URL. Pass this server instance directly into your Agent constructor using the `mcp_servers` argument so your agent can auto-discover tools like `list_events` instantly.

Yes, because the SDK handles rate limits gracefully when querying `list_orders` or `list_tickets`. You should enable `cacheToolsList=True` in your connection parameters to minimize startup latency during heavy traffic spikes.

You define strict guardrails within your agent configuration to restrict which tools can be executed. For example, you can limit your customer-facing agent to only call `list_events` while blocking access to sensitive endpoints like `list_orders`.

Absolutely. You can build one agent that queries `list_attendees` to find a guest, and if they have an unpaid order, hand the conversation off to a billing agent that calls `list_orders`.

Your attendee lists and order records are processed inside isolated V8 sandboxes on Vinkius. This zero-trust MCP architecture guarantees that no customer ticketing data is stored on our servers, and all API requests require a single secure endpoint token to prevent unauthorized access.

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