Can I search for cocktails that only contain a specific ingredient like Gin?

Yes! Use the `filter_by_ingredient` tool with 'Gin'. It will return a list of all cocktails in the database that include Gin as one of their primary components.

How do I get the full instructions and image for a specific drink?

First, find the drink ID using `search_cocktail_by_name`. Then, use the `get_cocktail_details` tool with that ID to retrieve the high-res image URL, full ingredient list, and step-by-step instructions.

Does the integration provide non-alcoholic drink options?

Absolutely. You can use the `list_alcoholic_filters` tool to see available filters, and then use `filter_by_category` or specific search queries to identify 'Non_Alcoholic' drinks.

TheCocktailDB Alternative MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: TheCocktailDB Alternative
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add TheCocktailDB Alternative as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="thecocktaildb_alternative_agent",
    instruction=(
        "You help users interact with TheCocktailDB Alternative "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<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 Alternative MCP Server

Equip your AI agent with the most comprehensive cocktail intelligence available via TheCocktailDB. This unified server merges thousands of drink recipes and ingredient details into a single, high-performance interface. Your agent can instantly find detailed instructions for classic and modern cocktails, retrieve ingredient metadata, and filter drinks by categories or glass types. Whether you are looking for a random inspiration or a specific recipe by ingredient, your agent acts as a dedicated global bartender and mixology expert through natural conversation.

Google ADK natively supports TheCocktailDB Alternative as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Recipe Discovery — Search for thousands of cocktail recipes by name or first letter to retrieve instructions and images.
Ingredient Auditing — Fetch complete metadata for specific ingredients and search for them within the database.
Mixology Filtering — Filter cocktails by category (e.g., Ordinary Drink, Cocktail), glass type, or alcoholic content.
Creative Inspiration — Get a completely random cocktail recipe to discover new flavors and techniques.
Inventory Matching — Find all drinks that use a specific ingredient you already have in your cabinet.

The TheCocktailDB Alternative MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK 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 Alternative to Google ADK via MCP

Follow these steps to integrate the TheCocktailDB Alternative MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from TheCocktailDB Alternative via MCP

Why Use Google ADK with the TheCocktailDB Alternative MCP Server

Google ADK provides unique advantages when paired with TheCocktailDB Alternative through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with TheCocktailDB Alternative

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine TheCocktailDB Alternative tools with BigQuery, Vertex AI, and Cloud Functions

TheCocktailDB Alternative + Google ADK Use Cases

Practical scenarios where Google ADK combined with the TheCocktailDB Alternative MCP Server delivers measurable value.

Enterprise data agents: ADK agents query TheCocktailDB Alternative and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine TheCocktailDB Alternative tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query TheCocktailDB Alternative regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including TheCocktailDB Alternative

TheCocktailDB Alternative MCP Tools for Google ADK (12)

These 12 tools become available when you connect TheCocktailDB Alternative to Google ADK via MCP:

filter_by_category

Filter cocktails by category

filter_by_ingredient

Filter cocktails by ingredient

get_cocktail_details

Get cocktail details by ID

get_ingredient_details

Get ingredient details by ID

get_random_cocktail

Get a random cocktail

list_alcoholic_filters

g., Alcoholic, Non-Alcoholic). List alcoholic filters

list_categories

List cocktail categories

list_glasses

List cocktail glasses

list_ingredients

List all ingredients

search_cocktail_by_first_letter

Search for a cocktail by first letter

search_cocktail_by_name

g., Margarita). Search for a cocktail by name

search_ingredient_by_name

Search for an ingredient by name

Example Prompts for TheCocktailDB Alternative in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with TheCocktailDB Alternative immediately.

"Search for the recipe of a 'Margarita'."

"What drinks can I make with 'Vodka'?"

"Suggest a random cocktail for tonight."

Troubleshooting TheCocktailDB Alternative MCP Server with Google ADK

Common issues when connecting TheCocktailDB Alternative to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

TheCocktailDB Alternative + Google ADK FAQ

Common questions about integrating TheCocktailDB Alternative MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.