How to Use the MRPLN MCP in OpenAI Agents SDK

Q: How do I link MRPLN with my OpenAI Agents SDK project?

You define an MCPServerStreamableHttp instance and pass it into your agent constructor. The SDK handles the heavy lifting, making the tools available to your agent immediately.

Connect MRPLN to your OpenAI Agents SDK workflow to automate factory communications and track production metrics.

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Connect MRPLN MCP to OpenAI Agents SDK

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

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Automate customer messaging with OpenAI Agents SDK

Trigger production updates directly from your agent logic using `send_email_message`, `send_sms_message`, and `send_whatsapp_message`. Your agent evaluates the situation and selects the right channel without manual oversight. Check `list_waba_templates` to ensure your WhatsApp outreach meets requirements before firing. This keeps your communication consistent and reliable across the factory floor.

Manage customer records via OpenAI Agents SDK

Keep your database accurate by using `create_customer` and `update_customer` to handle lead intake. The agent handles the data entry so you don't have to. Use `get_customer` to pull specific details when an agent needs to verify production status for a client. It’s the fastest way to get the right info into the conversation.

Analyze tactic performance using OpenAI Agents SDK

Run `get_tactic_performance` to see how your production schedules and marketing efforts are actually landing. Your agent interprets the raw data to spot trends you might miss. Compare results against your `list_tactics` output to see where you’re winning and where you’re wasting effort. It turns raw logs into actionable insights for your planning team.

Setup guide

Set up MRPLN 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 MRPLN tools at runtime.
3

Create your Agent

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

Run the agent

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

You define an `MCPServerStreamableHttp` instance and pass it into your agent constructor. The SDK handles the heavy lifting, making the tools available to your agent immediately.

Yes. Since the tools are exposed via the protocol, your existing guardrails will validate every call made to the server. This prevents your agent from running unauthorized actions.

Not directly. You use the tools to pull data, but you should rely on the native OpenAI dashboard for tracing the agent's internal decision-making process.

The server returns an error code that your agent intercepts. You can then program a fallback, like retrying the request or alerting a human operator.

Vinkius manages the connection via an ephemeral sandbox. Your customer PII is never stored by the server itself, and all traffic is encrypted end-to-end.

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