How to Use the Cocktail API MCP in Mastra AI

Build complex drink recommendation workflows in Mastra AI with automated error handling and retries.

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Connect Cocktail API MCP to Mastra AI

Create your Vinkius account to connect Cocktail API to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cocktail API with Mastra AI

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Claude

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Automated recipe retrieval for Mastra AI

Integrate `get_gin_cocktails` or `get_rum_cocktails` into your agent's decision tree. Mastra AI manages the flow, ensuring the agent tries a different search if the first attempt returns no results. This keeps your multi-step process moving. You define the logic, and the server handles the data retrieval.

Conditional drink logic in Mastra AI

Use `get_tequila_cocktails` as a step in your agent's workflow. If the agent needs to provide a specific type of drink based on previous user input, it triggers this tool automatically. Your Mastra AI workflows handle the branching logic. The server provides the raw recipe data whenever the agent requests it.

Reliable tool execution in Mastra AI

Deploy `get_vodka_cocktails` with built-in retries using this MCP Server. If the network blips, the agent framework automatically attempts the call again. This makes your automated drink assistant more resilient. You spend less time debugging connection issues and more time defining agent behavior.

Setup guide

Set up Cocktail API MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Cocktail API tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "cocktail-api-mcp-client",
  servers: {
    "cocktail-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Cocktail API Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Cocktail API tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Cocktail API transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cocktail API. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Cocktail API MCP in Mastra AI

Add the server URL to your MCP client configuration in the Mastra agent definition. Once initialized, the tools become available for your agent to call. It takes seconds to link them.

Yes, you can configure the agent to retry tool calls upon failure. This ensures your workflow completes even if the connection drops momentarily. It keeps your automation running.

You can set requireToolApproval for any tool. This forces the agent to pause until you confirm the action. It's useful for keeping a human in the loop.

The tools are stateless. Each request provides the recipe data needed for that specific step. Your agent manages the overall session state and history.

Your ingredient queries are transmitted over encrypted channels only. The server does not log or store the specific search terms you send. Every transaction is ephemeral and cleared immediately after processing.

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