Toast 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 Toast 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 Toast, 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 Toast MCP Server
Connect your Toast restaurant to any AI agent and transform how you run your business.
The Vercel AI SDK gives every Toast 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
- Orders — Browse today's sales, drill into check details, track voids and comps
- Menus — Full menu engineering: items, prices, modifiers, and availability
- Labor — Employee rosters, clock-in/out, overtime, and labor cost tracking
- Tables — Floor plan, seating status, and section management
- Payments — Cash, card, tips, and settlement tracking
- Revenue Centers — Bar vs dining room vs patio sales segmentation
The Toast 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 Toast to Vercel AI SDK via MCP
Follow these steps to integrate the Toast 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 Toast and passes them to the LLM
Why Use Vercel AI SDK with the Toast MCP Server
Vercel AI SDK provides unique advantages when paired with Toast 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 Toast integration everywhere
Built-in streaming UI primitives let you display Toast 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
Toast + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Toast MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Toast in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Toast tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Toast capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Toast through natural language queries
Toast MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Toast to Vercel AI SDK via MCP:
get_order
Deep drill into a single check. Get order details
get_restaurant
Get restaurant info
list_dining_options
With behavior settings and online ordering config. List dining options
list_employees
For labor management. List employees
list_menu_items
"What is our most expensive dish?" List menu items
list_menus
With categories, availability windows, and ordering channels. List restaurant menus
list_orders
THE core tool — "What sold today?" List restaurant orders
list_revenue_centers
Used for sales segmentation and reporting. List revenue centers
list_tables
For floor plan and seating management. List restaurant tables
list_time_entries
For payroll and scheduling. List time entries
Example Prompts for Toast in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Toast immediately.
"What were our total sales yesterday and what was the most popular item?"
"Check today's gross sales across all our restaurant locations."
"Update the price of 'Avocado Toast' on the brunch menu to $12.50."
Troubleshooting Toast MCP Server with Vercel AI SDK
Common issues when connecting Toast to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpToast + Vercel AI SDK FAQ
Common questions about integrating Toast 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 Toast 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 Toast to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.