PingPong MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect PingPong through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="PingPong Assistant",
instructions=(
"You help users interact with PingPong. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from PingPong"
)
print(result.final_output)
asyncio.run(main())
* 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 PingPong MCP Server
Empower your AI agent to orchestrate your cross-border financial operations with PingPong, the leading global payment platform for modern e-commerce. By connecting PingPong to your agent, you transform complex account management and fund orchestration into a natural conversation. Your agent can instantly list your global receiving accounts, retrieve real-time balances, monitor transaction histories, and even initiate payouts without you needing to navigate the complex PingPong dashboard. Whether you are managing multiple Amazon stores or distributing funds to global suppliers, your agent acts as a real-time treasury assistant, keeping your capital accurate and your cross-border payments moving.
The OpenAI Agents SDK auto-discovers all 10 tools from PingPong through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries PingPong, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Account Orchestration — List all your PingPong global receiving accounts and retrieve detailed metadata for each.
- Balance Monitoring — Get real-time balance information across multiple currencies and account types.
- Transaction Auditing — Browse transaction histories with full support for filtering by status and currency.
- Payout Control — Initiate fund withdrawals and monitor the real-time status of your payouts.
- Treasury Insights — Retrieve high-level summaries of your global sales and virtual card (VCC) balances.
The PingPong MCP Server exposes 10 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 PingPong to OpenAI Agents SDK via MCP
Follow these steps to integrate the PingPong MCP Server with OpenAI Agents SDK.
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 10 tools from PingPong
Why Use OpenAI Agents SDK with the PingPong MCP Server
OpenAI Agents SDK provides unique advantages when paired with PingPong 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
PingPong + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the PingPong MCP Server delivers measurable value.
Automated workflows: build agents that query PingPong, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries PingPong, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through PingPong tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query PingPong to resolve tickets, look up records, and update statuses without human intervention
PingPong MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect PingPong to OpenAI Agents SDK via MCP:
create_payout
Create a new payout
get_account_details
Get account information
get_balance
Get account balance
get_exchange_rates
Get real-time exchange rates
get_payout_status
Check payout status
get_sales_summary
Get global sales summary
get_vcc_balance
Get virtual card balance
list_accounts
List global accounts
list_store_accounts
). List e-commerce store accounts
list_transactions
List account transactions
Example Prompts for PingPong in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with PingPong immediately.
"List all my PingPong receiving accounts."
"What is my current balance in USD across all accounts?"
"Check the status of payout 'PAY-8821'."
Troubleshooting PingPong MCP Server with OpenAI Agents SDK
Common issues when connecting PingPong to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
PingPong + OpenAI Agents SDK FAQ
Common questions about integrating PingPong MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect PingPong with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PingPong to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.