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How to Use the Copperx MCP in OpenAI Agents SDK

Give your OpenAI Agents SDK production setups direct, secure access to the Copperx MCP Server for running crypto billing and customer payouts.

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OpenAI Agents SDK

Connect Copperx MCP to OpenAI Agents SDK

Create your Vinkius account to connect Copperx 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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Automate crypto checkouts via OpenAI Agents SDK

The `create_payment_link` tool lets your OpenAI Agents SDK agent build custom crypto checkout URLs on the fly. Instead of writing boilerplate payment routing, your script hands this task off to the MCP tool, which handles the exact pricing configuration dynamically. It also uses `list_payment_links` to track which checkout pages are performing best. This keeps your automated sales pipelines moving without relying on hardcoded payment gateways or manual intervention.

Reconcile ledger balances and payouts

The `get_wallet_balance` tool retrieves real-time balances across multiple blockchains directly inside your OpenAI Agents SDK MCP environment. Your agent can instantly inspect what crypto assets are sitting in your corporate wallets before initiating any outbound transfers. If everything aligns, the agent triggers `list_payouts` to verify previous settlement statuses. This ensures your automated treasury workflows never double-spend or execute payouts on dry accounts.

Manage user profiles and recurring billing

The `create_customer` tool registers new users in your Copperx database from within your agent loop. When a user signs up through your OpenAI Agents SDK interface, your agent maps their identity properties to establish a clean billing profile. Following registration, the agent calls `list_subscriptions` and `list_invoices` to audit their payment history. This lets you build customer support agents that can instantly tell a user why their last crypto invoice is still pending.

Setup guide

Set up Copperx 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 Copperx tools at runtime.

  3. 3

    Create your Agent

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

The SDK automatically registers the server tools when you pass the streamable HTTP parameters to your agent constructor. Your agent immediately gains access to functions like `list_payments` without any manual schema mapping or custom tool definition.
Yes, you can control tool access directly within your Python code by filtering the tools list before passing it to the agent. This prevents sensitive actions like triggering payouts from being exposed to customer-facing conversational agents.
The SDK captures tool execution exceptions and returns the error trace directly to your agent's context. Your agent can then inspect the payload, see if a blockchain transaction failed, and safely retry or alert your team.
The agent runs `get_payment_details` to pull the latest transaction hashes and fee breakdowns. It can then compare this data against the billing record to update the user on their payment status.
All sensitive data, including customer emails and wallet transaction histories, is processed within an ephemeral, zero-trust MCP sandbox. Your Copperx API keys are never exposed to the LLM or stored on Vinkius servers, ensuring complete payment privacy.

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