PingPong MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add PingPong as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="pingpong_agent",
tools=tools,
system_message=(
"You help users with PingPong. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use PingPong tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the PingPong MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from PingPong automatically
Why Use AutoGen with the PingPong MCP Server
AutoGen provides unique advantages when paired with PingPong through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use PingPong tools to solve complex tasks
Role-based architecture lets you assign PingPong tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive PingPong tool calls
Code execution sandbox: AutoGen agents can write and run code that processes PingPong tool responses in an isolated environment
PingPong + AutoGen Use Cases
Practical scenarios where AutoGen combined with the PingPong MCP Server delivers measurable value.
Collaborative analysis: one agent queries PingPong while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from PingPong, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using PingPong data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process PingPong responses in a sandboxed execution environment
PingPong MCP Tools for AutoGen (10)
These 10 tools become available when you connect PingPong to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting PingPong to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"PingPong + AutoGen FAQ
Common questions about integrating PingPong MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.