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How to Use the BotPenguin MCP in OpenAI Agents SDK

Directly manage your customer support pipeline using the OpenAI Agents SDK and the BotPenguin MCP server.

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Works with every AI agent you already use

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OpenAI Agents SDK

Connect BotPenguin MCP to OpenAI Agents SDK

Create your Vinkius account to connect BotPenguin 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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Full chat oversight for OpenAI Agents SDK

Stop jumping between tabs to see what your users are asking. Use `list_chats` to pull active sessions directly into your Python agent environment, then drill down into specific conversations with `get_chat_history`. Your agents can now react to live support issues without leaving the code. You get full visibility into the dialogue flow while maintaining your existing guardrails.

Automated contact management in production

Feed your agent lead data by calling `list_contacts`. It pulls your entire database of prospects, letting you filter by name or query string to find exactly who you need. Once you find the right person, use `get_contact` to view their profile details. This keeps your agent informed with real-time data instead of relying on stale cache.

Direct messaging and verification

Stop relying on manual replies for common support tasks. Your agents can use `send_message` to push updates into active chats based on logic you define in your Python scripts. Need to secure an account? Use `send_otp` to trigger an SMS verification flow. It’s a clean way to handle authentication directly from your agent's decision loop.

Setup guide

Set up BotPenguin 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 BotPenguin tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives BotPenguin 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 BotPenguin 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="BotPenguin Agent",
            instructions="You have access to BotPenguin 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 BotPenguin. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

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 BotPenguin MCP in OpenAI Agents SDK

You just need to import the MCPServerStreamableHttp class and point it at the Vinkius endpoint. Pass the server instance into your Agent constructor and the SDK handles the rest.
Yes, just call `list_tags` to see all labels associated with your contacts. It helps your agent categorize leads accurately based on their current status.
It can. Use the `list_agents` tool to see who is currently available in your support queue before escalating a ticket.
Vinkius runs this in a hardened V8 isolate sandbox. Your API keys are never exposed to the agent and the communication is scoped strictly to the tools provided.
We treat phone numbers as sensitive strings. They only move from your BotPenguin account to your client through an encrypted transport layer when you specifically trigger an action.

Start using the BotPenguin MCP today

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