PingPong MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PingPong through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using PingPong, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every PingPong tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the PingPong MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from PingPong and passes them to the LLM
Why Use Vercel AI SDK with the PingPong MCP Server
Vercel AI SDK provides unique advantages when paired with PingPong through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same PingPong integration everywhere
Built-in streaming UI primitives let you display PingPong tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
PingPong + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the PingPong MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query PingPong in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate PingPong tools and return structured JSON responses to any frontend
Chatbots with tool use: embed PingPong capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with PingPong through natural language queries
PingPong MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect PingPong to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting PingPong to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPingPong + Vercel AI SDK FAQ
Common questions about integrating PingPong MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.