How to Use the IBAN.com MCP in OpenAI Agents SDK

Q: Does the IBAN.com MCP Server support tracing in OpenAI Agents SDK?

Yes, every execution of tools like calculateiban or getbankdetails appears in your OpenAI developer dashboard. This gives you a clear view of how your agent processes financial inputs during runtime. You can inspect the exact payload sent to the API for debugging.

Q: Can my OpenAI Agents SDK setup check API balances automatically?

Yes, your agent can call getapibalance to monitor your remaining request credits dynamically. You can write a system prompt that instructs the agent to notify your team when the balance drops below a specific threshold. This keeps your production pipelines running without unexpected interruptions.

Q: How does this MCP Server handle invalid bank routing numbers?

The getbankdetails tool returns an error payload if the IBAN format is incorrect. Your agent reads this structured error and prompts the user to correct their input. This feedback loop prevents bad data from ever entering your database.

Auto-discover bank validation tools and secure your OpenAI Agents SDK workflows with real-time IBAN and SWIFT verification.

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Connect IBAN.com MCP to OpenAI Agents SDK

Create your Vinkius account to connect IBAN.com 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 IBAN.com with OpenAI Agents SDK

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Perplexity

Verify global bank details in OpenAI Agents SDK

Let's be real: wire transfers fail constantly because of typos. The `validate_iban` tool checks the checksum and format of incoming bank codes directly inside your agent stream to kill those errors early. You configure the setup using `MCPServerStreamableHttpParams` to connect this MCP Server to your agent constructor. The agent automatically runs the validation step in the background, matching the extracted bank metadata against live records without manual intervention.

Prevent card failures with local Luhn checks

The `validate_card_luhn` tool verifies credit card number formats directly inside your OpenAI Agents SDK pipeline. This step intercepts bad card numbers at the conversational interface level before they touch your payment gateway. By setting `cacheToolsList=True` in your Python script, your agent runs these checks instantly during a user chat. The model gets immediate confirmation of card format validity, keeping your token costs low and your response times under 100 milliseconds.

Extract SWIFT codes during agent handoffs

The `validate_swift_bic` tool extracts and verifies bank identification codes during cross-border payment routings. When your billing agent hands off a task to your compliance agent, it passes the verified BIC along with the transaction payload. This MCP Server integration allows your specialized agents to query `get_bank_details` to verify the physical address of the receiving institution. The OpenAI dashboard traces these tool calls, giving your team a clean audit trail of every validation step.

Setup guide

Set up IBAN.com 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 IBAN.com tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBAN.com. 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 IBAN.com MCP in OpenAI Agents SDK

Install the package using pip and initialize the server with the `MCPServerStreamableHttp` class pointing to your Vinkius endpoint. Pass the server instance directly into your Agent constructor using the `mcp_servers` parameter. Your agent will auto-discover all six validation tools immediately.

Yes, every execution of tools like `calculate_iban` or `get_bank_details` appears in your OpenAI developer dashboard. This gives you a clear view of how your agent processes financial inputs during runtime. You can inspect the exact payload sent to the API for debugging.

Yes, your agent can call `get_api_balance` to monitor your remaining request credits dynamically. You can write a system prompt that instructs the agent to notify your team when the balance drops below a specific threshold. This keeps your production pipelines running without unexpected interruptions.

The `get_bank_details` tool returns an error payload if the IBAN format is incorrect. Your agent reads this structured error and prompts the user to correct their input. This feedback loop prevents bad data from ever entering your database.

Vinkius runs this MCP Server in an isolated V8 sandbox that processes credit card numbers and bank codes ephemerally. No financial data is stored on the host or written to disk. The `validate_card_luhn` and `validate_iban` tools only inspect the mathematical validity and metadata of the strings before discarding them.

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