CoinGate MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Order, Get Account Info, Get Exchange Rates, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CoinGate through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The CoinGate app connector for Vercel AI SDK is a standout in the Finance Accounting category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 CoinGate, 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 CoinGate MCP Server
Connect your CoinGate account to any AI agent and take full control of your cryptocurrency payment operations and financial workflows through natural conversation.
The Vercel AI SDK gives every CoinGate tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Order Orchestration — List and create new cryptocurrency payment orders programmatically, including monitoring price, currency, and real-time payment status
- Payout Management — Access and monitor your payout history and account balances to ensure efficient fund management across your crypto portfolio
- Exchange Rate Intelligence — Retrieve real-time exchange rates for Bitcoin, Ethereum, and dozens of other digital and fiat currencies directly through your agent
- Shopper Relationship Management — Access customer metadata and transaction histories to maintain a perfectly coordinated relationship ecosystem
- Account Visibility — Monitor your account profile and verification status directly through your agent for instant operational reporting
The CoinGate MCP Server exposes 6 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.
All 6 CoinGate tools available for Vercel AI SDK
When Vercel AI SDK connects to CoinGate through Vinkius, your AI agent gets direct access to every tool listed below — spanning crypto-payments, fiat-settlement, payment-gateway, 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.
Pass data as a JSON string. Create a new payment order
Get account profile details
Get current crypto exchange rates
Get order details
List all crypto payment orders
List all payouts
Connect CoinGate to Vercel AI SDK via MCP
Follow these steps to wire CoinGate into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the CoinGate MCP Server
Vercel AI SDK provides unique advantages when paired with CoinGate 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 CoinGate integration everywhere
Built-in streaming UI primitives let you display CoinGate 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
CoinGate + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CoinGate MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CoinGate in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CoinGate tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CoinGate capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CoinGate through natural language queries
Example Prompts for CoinGate in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CoinGate immediately.
"List all active payment orders in my CoinGate account."
"What is the current BTC to USD exchange rate?"
"Create a new 50 EUR payment order titled 'Service Fee'."
Troubleshooting CoinGate MCP Server with Vercel AI SDK
Common issues when connecting CoinGate to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCoinGate + Vercel AI SDK FAQ
Common questions about integrating CoinGate 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.