How to Use the ChargeOver MCP in OpenAI Agents SDK

Q: How do I connect ChargeOver to the OpenAI Agents SDK?

Pass the Vinkius endpoint into MCPServerStreamableHttp. Supply that to your Agent constructor.

Q: Can OpenAI Agents SDK automatically find ChargeOver tools?

Yes. Set cacheToolsList=True for better performance. The framework discovers every available endpoint.

Give your OpenAI Agents SDK production-grade recurring billing tools via this MCP Server.

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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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Setup ChargeOver with OpenAI Agents SDK

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Perplexity

Automate subscriptions with OpenAI Agents SDK

Your agent needs to bill users. It calls `create_billing_customer` to set up the profile. Then it triggers `create_subscription` to start the recurring charge. Built-in guardrails catch bad parameters before the API call fires. You define the safety constraints in your Python code. The agent respects them completely.

Generate invoices programmatically

Firing off a manual bill takes too long. Use `create_billing_invoice` to have your system draft and send it instantly. Every action shows up in your OpenAI dashboard. Full tracing means you know exactly when the MCP Server processed a payment request.

Query financial records via MCP

Customer support bots often need payment history. They run `list_billing_transactions` and `list_billing_invoices` to grab the data. You can hand this context off between specialized agents. One agent handles the database lookup while another drafts the email response.

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

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 ChargeOver tools at runtime.
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

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())

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Common questions about ChargeOver MCP in OpenAI Agents SDK

Pass the Vinkius endpoint into `MCPServerStreamableHttp`. Supply that to your Agent constructor.

Yes. Set `cacheToolsList=True` for better performance. The framework discovers every available endpoint.

They can create customers, draft invoices, and manage subscriptions. Read operations like listing transactions are also available.

You can pass financial context between agents. A billing agent pulls invoice data and hands it to a support agent.

Everything runs inside a V8 Isolate Sandbox. Your transaction logs and customer billing profiles disappear the moment the ephemeral session ends.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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