How to Use the Nue.io Revenue MCP in OpenAI Agents SDK

Q: How does OpenAI Agents SDK discover Nue.io Revenue tools?

The SDK uses auto-discovery to register tools like listcatalogproducts instantly when you connect this MCP Server to your Python code. You do not need to manually write schema definitions or map endpoints in your Python code.

Q: How do I handle multi-agent handoffs for Nue.io Revenue tasks in OpenAI Agents SDK?

You assign specific tools like listproductpricetags to a specialized pricing agent, while routing user metadata tasks to a separate identity agent. The SDK manages the handoff between these specialized agents based on the user's intent.

Q: Can I filter product categories using this server?

Yes, the listproductcategories tool retrieves the active catalog categories. Your agent uses this list to filter and organize product searches without pulling the entire catalog.

Manage complex price tags and revenue workflows in production with OpenAI Agents SDK using auto-discovered tools.

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Connect Nue.io Revenue MCP to OpenAI Agents SDK

Create your Vinkius account to connect Nue.io Revenue 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 Nue.io Revenue with OpenAI Agents SDK

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Audit billing setups with OpenAI Agents SDK

`list_active_integrations` identifies which external tools like Stripe or Salesforce are currently synced with your billing hub. Your agent queries this endpoint to map out active connections, ensuring your pipeline isn't sending records into a black hole. You get a raw list of configured integrations without writing custom API polling scripts. The MCP Server gives your agent real-time access to sync states to verify downstream connections before triggering billing runs.

Map price tags via the MCP Server

`list_product_price_tags` extracts the exact pricing structures assigned to your catalog items. Your agent reads these tags to confirm that your sales team and subscription platform are looking at the exact same dollar amounts. This stops pricing drift before it breaks your checkout flow. By feeding these tags directly into your OpenAI Agents SDK workflow, the agent flags mismatched rates before they hit production.

Inspect complex product bundles

`list_product_bundles` exposes how your products are grouped and packaged for sales workflows. Your agent calls this tool to break down multi-element offerings, ensuring that discount rules and item pairings align with your pricing strategy. Instead of hardcoding bundle logic into your Python scripts, you let the agent pull the live structures dynamically. This keeps your sales automation accurate even when finance updates the packaging rules.

Setup guide

Set up Nue.io Revenue 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 Nue.io Revenue tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Nue.io Revenue 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="Nue.io Revenue Agent",
            instructions="You have access to Nue.io Revenue tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nue.io. 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.

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Common questions about Nue.io Revenue MCP in OpenAI Agents SDK

The SDK uses auto-discovery to register tools like `list_catalog_products` instantly when you connect this MCP Server to your Python code. You do not need to manually write schema definitions or map endpoints in your Python code.

No, because the SDK enforces strict pre-execution guardrails that validate agent actions before calling tools like `list_revenue_workflows`. You control the execution context, and Vinkius runs the server in an isolated sandbox.

You assign specific tools like `list_product_price_tags` to a specialized pricing agent, while routing user metadata tasks to a separate identity agent. The SDK manages the handoff between these specialized agents based on the user's intent.

Yes, the `list_product_categories` tool retrieves the active catalog categories. Your agent uses this list to filter and organize product searches without pulling the entire catalog.

Yes, because your credentials never persist on the Vinkius platform where the MCP is hosted. The server runs in a zero-trust, ephemeral V8 isolate that processes queries to `list_active_integrations` and terminates immediately after execution, leaving no traces behind.

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