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Swan MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Swan through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Swan Assistant",
            instructions=(
                "You help users interact with Swan. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Swan"
        )
        print(result.final_output)

asyncio.run(main())
Swan
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Swan MCP Server

The Swan MCP Server embeds a complete European Banking-as-a-Service architecture into Vinkius LLMs.

The OpenAI Agents SDK auto-discovers all 9 tools from Swan through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Swan, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Automated Root Provisioning — Instantly spin up local branch operations allocating FRA or ESP IBAN formats through swan_create_account.
  • Card Administration — Ask the agent to generate custom virtual Mastercards assigned exclusively to distinct contractors utilizing swan_add_virtual_card.
  • Direct SEPA Execution — Move exact funds safely parsing external creditor data natively through swan_create_sepa_transfer directly across European networks.

The Swan MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Swan to OpenAI Agents SDK via MCP

Follow these steps to integrate the Swan MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 9 tools from Swan

Why Use OpenAI Agents SDK with the Swan MCP Server

OpenAI Agents SDK provides unique advantages when paired with Swan through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Swan + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Swan MCP Server delivers measurable value.

01

Automated workflows: build agents that query Swan, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Swan, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Swan tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Swan to resolve tickets, look up records, and update statuses without human intervention

Swan MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect Swan to OpenAI Agents SDK via MCP:

01

swan_add_virtual_card

Provisions a robust Mastercard Virtual Debit

02

swan_cancel_card

Permanently cancel a specific corporate card

03

swan_create_account

Requires an existing AccountHolderId. Dynamically provision a European Account under your ledger

04

swan_create_sepa_transfer

Initiate a standard European SEPA Credit Transfer

05

swan_get_accounts

List all operational Swan Bank Accounts/IBANs

06

swan_get_project_info

Fetch overarching details about your connected Swan Project Node

07

swan_get_transactions

Retrieve the ledger history for a specific Account

08

swan_list_cards

List all physical and virtual cards

09

swan_simulate_incoming_transfer

Sandbox Only - Inject fake money

Example Prompts for Swan in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Swan immediately.

01

"Retrieve my core project identifier and map the legal entity ID."

02

"Launch a brand new sub-account in France. Bind it to the root entity targeting EUR processing."

03

"Sweep the ledger of Account X123 and list the latest 5 transactions."

Troubleshooting Swan MCP Server with OpenAI Agents SDK

Common issues when connecting Swan to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Swan + OpenAI Agents SDK FAQ

Common questions about integrating Swan MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Swan to OpenAI Agents SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.