How to Use the Recharge MCP in OpenAI Agents SDK

Q: How do I connect this Recharge MCP Server to the OpenAI Agents SDK?

Install the openai-agents package and initialize MCPServerStreamableHttp pointing to your Vinkius endpoint. Pass the server instance directly into your Agent constructor's mcpservers list to auto-discover all eleven Recharge tools.

Q: Can I use OpenAI Agents SDK to update shipping details in Recharge?

You can use updatesubscription alongside listshippingaddresses to modify customer shipping destinations. The agent reads the existing address and writes the update back to Recharge.

Run secure, production-grade Recharge subscription changes using OpenAI Agents SDK with built-in guardrails and tracing.

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Connect Recharge MCP to OpenAI Agents SDK

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

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Guardrails for destructive Recharge updates in OpenAI Agents SDK

The `cancel_subscription` tool handles sensitive customer state changes that require strict verification before execution. By using this MCP Server with the OpenAI Agents SDK, you can set up runtime guardrails to intercept cancellation requests, ensuring your agent never drops a subscription without verifying customer intent first. You can configure the SDK to trigger a human-in-the-loop confirmation before the agent calls `update_subscription`. This keeps your subscription revenue safe while allowing the agent to handle low-risk tasks autonomously.

Multi-agent support routing with Recharge tools

The `list_billing_charges` and `list_subscription_orders` tools expose financial details that require specialized handling. With the OpenAI SDK, you can build a triage agent that looks up order history and hands the conversation off to a billing-specific agent. This multi-agent setup keeps your code modular. The billing agent gets exclusive access to `get_order`, while a general support agent manages basic shipping queries using `list_shipping_addresses`.

Tracing Recharge API calls on the OpenAI dashboard

The `get_customer` and `list_subscriptions` tools provide the raw data your agents need to resolve customer issues. When your agent queries these endpoints via the MCP Server, every single tool call is logged directly to your OpenAI developer dashboard for deep tracing. If an agent fails to locate a customer using `list_customers`, you can inspect the exact payload sent to the Recharge API. This visibility makes debugging automated support workflows incredibly fast.

Setup guide

Set up Recharge 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 Recharge tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the `openai-agents` package and initialize `MCPServerStreamableHttp` pointing to your Vinkius endpoint. Pass the server instance directly into your Agent constructor's `mcp_servers` list to auto-discover all eleven Recharge tools.

Yes, but you should configure guardrails for destructive actions. While the agent can freely run `list_products` to show catalog items, you should restrict `cancel_subscription` behind a verification step.

The SDK relies on Vinkius to handle the core connection, but you should design your agent loops to handle potential API throttling. If your agent calls `list_subscription_orders` too rapidly, Vinkius manages the queue to keep your token active.

You can use `update_subscription` alongside `list_shipping_addresses` to modify customer shipping destinations. The agent reads the existing address and writes the update back to Recharge.

This server processes sensitive customer details, billing charges, and shipping addresses. Vinkius runs the integration in isolated, zero-trust V8 sandboxes, meaning your customer data is never stored or used to train OpenAI models.

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