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TheCocktailDB MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TheCocktailDB through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 TheCocktailDB, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
TheCocktailDB
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High SecurityEnterprise-grade
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EU AI ActCompliant
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V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 TheCocktailDB MCP Server

The TheCocktailDB MCP Server transforms your AI agent into a knowledgeable bartender with access to 600+ cocktail recipes from around the world.

The Vercel AI SDK gives every TheCocktailDB tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

Core Capabilities

  • Cocktail Search — Find any drink by name with full ingredient lists, exact measurements, and mixing instructions.
  • Ingredient Filter — Enter any spirit (Vodka, Gin, Rum, Tequila, Whiskey) and discover every cocktail that uses it.
  • Category Browse — Explore by type: Cocktail, Shot, Ordinary Drink, Coffee/Tea, Punch/Party Drink, and more.
  • Random Inspiration — Get a surprise cocktail for "what should I mix tonight?" moments.
  • Glass Guide — Every recipe specifies the correct glass type for authentic presentation.
Zero authentication required. Perfect for bartending assistants, hospitality chatbots, and cocktail discovery apps.

The TheCocktailDB MCP Server exposes 5 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 TheCocktailDB to Vercel AI SDK via MCP

Follow these steps to integrate the TheCocktailDB MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 5 tools from TheCocktailDB and passes them to the LLM

Why Use Vercel AI SDK with the TheCocktailDB MCP Server

Vercel AI SDK provides unique advantages when paired with TheCocktailDB through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same TheCocktailDB integration everywhere

03

Built-in streaming UI primitives let you display TheCocktailDB tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

TheCocktailDB + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the TheCocktailDB MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query TheCocktailDB in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate TheCocktailDB tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed TheCocktailDB capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with TheCocktailDB through natural language queries

TheCocktailDB MCP Tools for Vercel AI SDK (5)

These 5 tools become available when you connect TheCocktailDB to Vercel AI SDK via MCP:

01

browse_cocktail_category

Browse cocktails by category (Cocktail, Shot, Ordinary Drink, etc.)

02

find_cocktails_by_ingredient

g. Vodka, Gin, Rum, Tequila, Whiskey, Bourbon, Champagne, Kahlua) and get all cocktails that use it. Find cocktails that use a specific ingredient

03

get_cocktail_details

Get full cocktail recipe details by CocktailDB ID

04

get_random_cocktail

Perfect for bartender inspiration or "what should I drink?" moments. Get a random cocktail recipe for inspiration

05

search_cocktails

Returns full recipes with ingredients, measures, glass type, and step-by-step instructions. Try: Margarita, Mojito, Old Fashioned, Negroni, Mai Tai, Piña Colada. Search for cocktail recipes by name

Example Prompts for TheCocktailDB in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TheCocktailDB immediately.

01

"How do I make a Margarita?"

02

"Show me a cocktail that includes Campari."

03

"Give me a random drink recommendation."

Troubleshooting TheCocktailDB MCP Server with Vercel AI SDK

Common issues when connecting TheCocktailDB to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

TheCocktailDB + Vercel AI SDK FAQ

Common questions about integrating TheCocktailDB MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect TheCocktailDB to Vercel AI SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.