How to Use the Ezus MCP in OpenAI Agents SDK

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

Install the SDK first. Create an MCPServerStreamableHttp instance pointing to your Vinkius endpoint, then pass it directly into your agent's mcpservers list. The agent discovers all 12 tools instantly.

Q: Can OpenAI Agents SDK manage write access to Ezus projects?

Yes. Your agent uses the upsertproject tool to write or modify project data. You should configure agent guardrails to validate these writes before they go live in your database.

Auto-discover Ezus travel tools in your OpenAI Agents SDK pipeline to build production-grade agency workflows.

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Connect Ezus MCP to OpenAI Agents SDK

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

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Perplexity

Automated project creation and updates

The `upsert_project` tool is the core of this MCP Server, letting your agent create new travel itineraries or modify existing ones directly from client emails. Skip the copy-pasting. Let the agent deal with travel dates and hotel details directly. Once the agent processes the request, it uses `get_project` to verify that the dates, budget, and destinations match the client's preferences. This keeps your travel database accurate without manual data entry.

Live supplier and product lookups

The `list_suppliers` tool connects your agent to your entire supplier database to pull active partners instantly. When a client requests a boutique hotel in Paris, the agent scans your records without human intervention. It then uses `get_supplier` and `list_products` to extract specific pricing and availability. This lets you reply to clients in minutes instead of making them wait hours for a manual lookup.

Automated invoicing and billing checks

The `list_invoices` tool fetches all billing records associated with a specific travel itinerary. Your agent reviews payment statuses automatically to flag overdue balances before booking confirmation. By calling `get_invoice`, the agent inspects individual line items to cross-reference supplier rates. It spots pricing discrepancies instantly, saving your agency from eating the cost of booking errors.

Setup guide

Set up Ezus 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 Ezus tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the SDK first. Create an `MCPServerStreamableHttp` instance pointing to your Vinkius endpoint, then pass it directly into your agent's `mcp_servers` list. The agent discovers all 12 tools instantly.

Yes. Your agent uses the `upsert_project` tool to write or modify project data. You should configure agent guardrails to validate these writes before they go live in your database.

The SDK queries the server endpoint at startup. It registers all available endpoints, like `list_clients` and `get_product`, as schema-validated functions that your LLM can call on demand.

The server returns an error code. Your agent catches this failure and can retry the `list_suppliers` or `get_supplier` call, or hand off the task to a human travel agent.

Your client profiles, invoices, and travel booking details stay inside a zero-trust V8 sandbox on Vinkius. This MCP integration ensures connection credentials are never exposed to the LLM or stored in plain text, keeping your agency compliant with data laws.

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