Cocktail API MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cocktail API through the 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 Cocktail API, 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 Cocktail API MCP Server
Empower your AI agent to orchestrate your entire mixology research and recipe auditing workflow with the Cocktail API, the comprehensive source for global drink data. By connecting the API Ninjas Cocktail API to your agent, you transform complex recipe searches into a natural conversation. Your agent can instantly retrieve cocktail details, audit ingredient lists, and query preparation instructions without you ever touching a drink portal. Whether you are planning a menu or conducting regional mixology research, your agent acts as a real-time sommelier, ensuring your data is always precise and localized.
The Vercel AI SDK gives every Cocktail API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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.
What you can do
- Recipe Auditing — Search for thousands of cocktail recipes by name and retrieve detailed metadata, including ingredient lists and instructions.
- Ingredient Oversight — Find cocktails matching specific ingredients to understand the thematic distribution of flavors instantly.
- Discovery by Theme — Query recipes containing base spirits like 'vodka' or 'tequila' to identify relevant assets for your menu.
- Preparation Intelligence — Retrieve full step-by-step instructions for any cocktail to assist in deep-dive mixology classification.
- Classic Variations — Instantly retrieve classic iterations of standard beverages, from margaritas to martinis.
The Cocktail API MCP Server exposes 8 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 Cocktail API to Vercel AI SDK via MCP
Follow these steps to integrate the Cocktail API 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 8 tools from Cocktail API and passes them to the LLM
Why Use Vercel AI SDK with the Cocktail API MCP Server
Vercel AI SDK provides unique advantages when paired with Cocktail API 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 Cocktail API integration everywhere
Built-in streaming UI primitives let you display Cocktail API 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
Cocktail API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cocktail API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cocktail API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cocktail API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cocktail API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cocktail API through natural language queries
Cocktail API MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Cocktail API to Vercel AI SDK via MCP:
get_classic_margaritas
Get classic Margarita variations
get_classic_martinis
Get classic Martini variations
get_cocktails_by_ingredients
Find cocktail recipes by specific ingredients
get_gin_cocktails
Get popular Gin cocktails
get_rum_cocktails
Get popular Rum cocktails
get_tequila_cocktails
Get popular Tequila cocktails
get_vodka_cocktails
Get popular Vodka cocktails
search_cocktails
Search for cocktail recipes by name
Example Prompts for Cocktail API in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cocktail API immediately.
"Get the recipe for a 'Margarita' using Cocktail API."
"Find cocktails that contain 'vodka' and 'coffee'."
"Show recipes for 'Gin and Tonic'."
Troubleshooting Cocktail API MCP Server with Vercel AI SDK
Common issues when connecting Cocktail API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCocktail API + Vercel AI SDK FAQ
Common questions about integrating Cocktail API 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 Cocktail API 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 Cocktail API to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.