PingPong MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect PingPong through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"pingpong": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "PingPong Agent",
instructions:
"You help users interact with PingPong " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with PingPong?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and PingPong tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the PingPong MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from PingPong via MCP
Why Use Mastra AI with the PingPong MCP Server
Mastra AI provides unique advantages when paired with PingPong through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add PingPong without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every PingPong tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
PingPong + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the PingPong MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query PingPong, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed PingPong as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query PingPong on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using PingPong tools alongside other MCP servers
PingPong MCP Tools for Mastra AI (10)
These 10 tools become available when you connect PingPong to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting PingPong to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPingPong + Mastra AI FAQ
Common questions about integrating PingPong MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.