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How to Use the N26 Banking MCP in OpenAI Agents SDK

Connect your N26 Banking data to your OpenAI Agents SDK production pipeline for real-time, validated financial insights.

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OpenAI Agents SDK

Connect N26 Banking MCP to OpenAI Agents SDK

Create your Vinkius account to connect N26 Banking 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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Real-time account monitoring for OpenAI Agents SDK

Your agent pulls current balances and status directly from `get_n26_accounts`. It maps your financial state without manual intervention. This MCP Server provides the raw data your agent needs to trigger logic based on your actual account standing.

Automated space management for OpenAI Agents SDK

Access sub-account balances instantly using `get_n26_spaces`. Your agent identifies which funds are tied up in specific savings goals. This gives your automation a clear view of your liquidity versus committed savings targets.

Transaction analysis for OpenAI Agents SDK

Feed your agent transaction history via `get_n26_transactions` to identify spending patterns. The agent processes these records to generate insights. It handles the heavy lifting of parsing your activity while you focus on the output.

Setup guide

Set up N26 Banking 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 N26 Banking tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives N26 Banking 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 N26 Banking 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="N26 Banking Agent",
            instructions="You have access to N26 Banking 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 N26. 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 N26 Banking MCP in OpenAI Agents SDK

You instantiate the server via the HTTP transport and pass it to your agent constructor. The agent automatically discovers `get_n26_accounts` and queries your balance on demand.
Yes. By calling `get_n26_spaces`, your agent reads your sub-account data and makes decisions based on those specific balances.
The server runs in an ephemeral sandbox. Your agent only receives the specific data requested by the tool call, minimizing exposure.
You invoke `get_n26_transactions` within your agent's loop. The tool returns your recent history as structured data.
No. The SDK auto-discovers the tools once you provide the endpoint. You just define the transport and the agent does the rest.

Start using the N26 Banking MCP today

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We've already built the connector for N26 Banking. Just plug in your AI agents and start using Vinkius.

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