MENU TIGER MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Menutiger Status, Get Account, Get Item, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MENU TIGER 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 MENU TIGER app connector for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 10 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 MENU TIGER, 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 MENU TIGER MCP Server
Connect your MENU TIGER account to any AI agent and take full control of your digital restaurant menus and automated order orchestration through natural conversation.
The Vercel AI SDK gives every MENU TIGER 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
- Menu Portfolio Orchestration — List and manage your entire portfolio of digital menus programmatically, retrieving detailed item metadata and prices
- Order & Customer Intelligence — Programmatically retrieve directories of incoming restaurant orders and access complete customer profiles in real-time
- Store & Layout Architecture — Access your complete directory of store locations and QR menu layouts to coordinate your organizational presence
- Operational Monitoring — Access real-time status updates for orders (e.g., 'Preparing', 'Served') and track store performance directly through your agent
- Infrastructure Verification — Verify account-level API connectivity and monitor transaction volume directly through your agent for perfectly coordinated service scaling
The MENU TIGER 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.
All 10 MENU TIGER tools available for Vercel AI SDK
When Vercel AI SDK connects to MENU TIGER through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-menu, qr-code-ordering, restaurant-management, 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.
Verify MenuTiger API connectivity
Get account info
Get item details
Get menu details
Get order details
List menu categories
List menu items
List all menus
List all orders
g., preparing, ready, completed, cancelled). Update order status
Connect MENU TIGER to Vercel AI SDK via MCP
Follow these steps to wire MENU TIGER 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 MENU TIGER MCP Server
Vercel AI SDK provides unique advantages when paired with MENU TIGER 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 MENU TIGER integration everywhere
Built-in streaming UI primitives let you display MENU TIGER 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
MENU TIGER + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the MENU TIGER MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query MENU TIGER in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate MENU TIGER tools and return structured JSON responses to any frontend
Chatbots with tool use: embed MENU TIGER capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with MENU TIGER through natural language queries
Example Prompts for MENU TIGER in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MENU TIGER immediately.
"Show all pending orders in my restaurant."
"Mark order ORD-421 as ready for pickup."
"List all items in my lunch menu."
Troubleshooting MENU TIGER MCP Server with Vercel AI SDK
Common issues when connecting MENU TIGER to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMENU TIGER + Vercel AI SDK FAQ
Common questions about integrating MENU TIGER 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.