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How to Use the VBOUT MCP in OpenAI Agents SDK

Run campaigns with your AI client, the OpenAI Agents SDK.

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OpenAI Agents SDK

Connect VBOUT MCP to OpenAI Agents SDK

Create your Vinkius account to connect VBOUT 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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Manage contacts and lists

The `search_contacts` tool lets you find people based on criteria. You can also use `get_contact` to pull specific details for a user who's already identified. When you need to expand your reach, the `add_contact` function adds new leads directly to an existing list ID.

Handle e-commerce data

Need to track sales? The `add_ecommerce_order` tool processes and records a full purchase. This means your agent can instantly log order details into the system. Beyond just orders, you can also list all available email marketing lists using `list_email_lists`, keeping track of where everything goes.

Automate outreach and content

The agent can draft social posts right through the `create_social_post` tool. It also lets you trigger specific marketing workflows using `trigger_workflow` for a defined contact. Keep your whole operation organized by listing available campaigns via `list_campaigns`, giving full visibility into current initiatives.

Setup guide

Set up VBOUT 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. 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. 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 VBOUT tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

The OpenAI Agents SDK auto-discovers all tools available on the MCP Server. Your agent can then call them like functions, handling the data input and output for you. You don't need to write any boilerplate code to make it run.
Absolutely. Use the `search_contacts` tool to locate contacts based on criteria, then use `get_contact` if you need a deep dive into that person's full profile.
The agent executes the request immediately by calling `trigger_workflow`. It sends the necessary parameters—like a contact ID—and runs the defined workflow without you having to manually jump into the platform.
Yes, it does. The `add_contact` tool requires an email and a list ID, allowing your agent to onboard new users directly into your marketing system.
This server touches contact records (email, name) and e-commerce order details. The agent validates inputs before execution, keeping your workflow safe.

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