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How to Use the ChargeOver MCP in OpenAI Agents SDK

Run production OpenAI Agents SDK workflows that pull customer subscriptions and invoices directly from ChargeOver.

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OpenAI Agents SDK

Connect ChargeOver MCP to OpenAI Agents SDK

Create your Vinkius account to connect ChargeOver 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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Audit Subscription Status in OpenAI Agents SDK

Your deployed OpenAI agents can stop guessing and start inspecting active contracts. By passing this server to your agent, it calls `list_billing_subscriptions` to pull live client packages and flag accounts that are past due. The agent matches these subscriptions against customer profiles using `get_customer_details`. This lets your automated workflows catch billing discrepancies before they hurt your bottom line.

Reconcile Invoices and Quotes Automatically

Build a dedicated billing agent that scans recent transactions to find unpaid balances. The agent runs `list_chargeover_invoices` to grab the billing history, then matches those records against open quotes retrieved via `list_billing_quotes`. You get a clear picture of pending revenue without writing custom sync scripts. The agent flags overdue invoices using `get_invoice_details` so your team knows exactly who to follow up with today.

Secure Financial Data via Vinkius MCP Server

Connect your agentic workflows to your billing platform using a single secure endpoint token. This MCP server handles the underlying authentication, letting your Python code focus on executing logic rather than managing API keys. Your system queries transaction logs using `list_billing_transactions` inside a sandboxed environment. The agent verifies the current account status with `get_chargeover_account` to ensure it only acts on valid tenant data.

Setup guide

Set up ChargeOver 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 ChargeOver tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives ChargeOver 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 ChargeOver 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="ChargeOver Agent",
            instructions="You have access to ChargeOver 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 ChargeOver. 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 ChargeOver MCP in OpenAI Agents SDK

Install the SDK and configure the MCPServerStreamableHttp transport pointing to your Vinkius endpoint. Pass this server in the mcp_servers list when initializing your agent. The agent then auto-discovers all tools like listing invoices and subscriptions.
Yes, you control this by configuring the agent's tool access parameters during initialization. If you only want the agent to read transaction history, you can restrict its execution profile to only call `list_billing_transactions` and block the rest.
Yes, you should set cacheToolsList to true in your server parameters. This prevents the SDK from repeatedly fetching the tool definitions, keeping your financial agent runs fast and responsive when querying `list_chargeover_customers`.
When a tool like `get_invoice_details` fails due to a missing ID, the server returns a structured error. The OpenAI Agents SDK catches this error, allowing your agent to either retry or ask you for the correct invoice number.
All invoice details and customer records are fetched through an ephemeral V8 sandbox. Vinkius secures your API keys externally, meaning your Python environment never directly exposes raw ChargeOver credentials during tool execution.

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