Can I see my current account balance via AI?

Yes! Use the `get_account` tool and provide the Account Identifier. Your agent will retrieve the current balance and available funds for that specific funding account.

How do I find the correct ID (UTID) for a specific gift card brand?

Run the `get_catalog` query. The agent will retrieve the full list of available brands and items, each with its unique UTID required for placing orders.

Is it possible to track if a reward has been delivered?

Absolutely. Use the `get_order` tool and provide the Order ID. The agent will retrieve the status, delivery details, and even the credentials if the reward is ready.

INSTANT PLUG AND PLAY

Tango MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Account, Create Customer, Create Order, and more

Name: Tango
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Tango app connector for OpenAI Agents SDK is a standout in the Money Moves category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Tango Assistant",
            instructions=(
                "You help users interact with Tango. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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 Tango MCP Server

Connect your Tango (formerly Tango Card) reward platform account to any AI agent and simplify how you distribute digital gift cards, manage customers, and monitor funding accounts through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Tango through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tango, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Catalog Discovery — Browse the full global catalog of brands, including gift cards, prepaid cards, and non-profit donations.
Reward Distribution — Place and automate orders for digital rewards delivered via email instantly.
Customer & Account Management — List, create, and manage customer groups and their associated funding accounts.
Financial Oversight — Check real-time account balances, list funding sources, and retrieve current exchange rates.
Order Tracking — Monitor your reward history and fetch detailed status and credentials for specific order IDs.
Scalable Rewards — Coordinate bulk payouts and loyalty incentives directly from Claude, Cursor, or any MCP client.

The Tango MCP Server exposes 12 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.

All 12 Tango tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Tango through Vinkius, your AI agent gets direct access to every tool listed below — spanning gift-cards, rewards-api, incentives, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_account

Create a new funding account

create_customer

Create a new customer

create_order

Place a reward order

get_account

Get account balance

get_catalog

List available reward brands

get_customer

Get customer details

get_exchange_rates

Get currency exchange rates

get_order

Get order status

list_accounts

List accounts for a customer

list_customers

List all customers

list_funding_sources

List funding sources

list_orders

List recent orders

Connect Tango to OpenAI Agents SDK via MCP

Follow these steps to wire Tango into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 12 tools from Tango

Why Use OpenAI Agents SDK with the Tango MCP Server

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

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

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

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

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

Tango + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Tango in OpenAI Agents SDK

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

"Show me all available gift card brands in the catalog."

"What is the current balance of account 'acc_10293'?"

"Send a $25 Amazon gift card (UTID: AMZN-US-2500) to 'john.doe@example.com'."

Troubleshooting Tango MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Tango + OpenAI Agents SDK FAQ

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

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.

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.

Does the SDK support streaming responses?

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