Do I need an API key or account?

No! CocktailFyi is a completely free and open API with no authentication required.

How many cocktails are available?

The database contains 600+ cocktails with complete recipes, plus hundreds of ingredients, techniques, guides, and glossary terms.

Can I search for cocktails by ingredient?

Yes! Use the `search_cocktails` tool with an ingredient name like 'vodka' or 'lime juice' to find all cocktails that use that ingredient.

CocktailFyi MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: CocktailFyi
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to CocktailFyi through Vinkius, pass the Edge URL in the `mcps` parameter and every CocktailFyi tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="CocktailFyi Specialist",
    goal="Help users interact with CocktailFyi effectively",
    backstory=(
        "You are an expert at leveraging CocktailFyi tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in CocktailFyi "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

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 CocktailFyi MCP Server

Connect CocktailFyi, the comprehensive cocktail database, to any AI agent and explore hundreds of cocktail recipes, ingredients, bartending techniques, and educational guides through natural language.

When paired with CrewAI, CocktailFyi becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call CocktailFyi tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Cocktail Recipes — Browse 600+ cocktails with complete recipes, ingredients, measurements, and step-by-step instructions
Ingredient Database — Explore spirits, mixers, garnishes, and bitters used in cocktails
Flavor Profiles — View sweetness, sourness, bitterness, and strength ratings for each cocktail
Bartending Techniques — Learn when to shake, stir, muddle, or build a drink
Educational Content — Access guides, glossary terms, and FAQs about mixology
Search & Filter — Find cocktails by name, ingredient, or category

The CocktailFyi MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI 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 CocktailFyi to CrewAI via MCP

Follow these steps to integrate the CocktailFyi MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from CocktailFyi

Why Use CrewAI with the CocktailFyi MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with CocktailFyi through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

CocktailFyi + CrewAI Use Cases

Practical scenarios where CrewAI combined with the CocktailFyi MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries CocktailFyi for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries CocktailFyi, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain CocktailFyi tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries CocktailFyi against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

CocktailFyi MCP Tools for CrewAI (12)

These 12 tools become available when you connect CocktailFyi to CrewAI via MCP:

get_cocktail

Get detailed cocktail information

get_cocktail_stats

Get CocktailFyi database statistics

get_cocktails_by_category

Get cocktails filtered by category

get_ingredient

Get detailed ingredient information

list_categories

List cocktail categories

list_cocktails

Each cocktail includes name, category, glass type, alcoholic status, difficulty, prep time, ABV, calories, flavor profile, ingredients, and instructions. List cocktails with pagination

list_faqs

List frequently asked questions about cocktails

list_glossary

List cocktail glossary terms

list_guides

List cocktail-making guides

list_ingredients

List all cocktail ingredients

list_techniques

with descriptions of when and how to use each. List cocktail preparation techniques

search_cocktails

Returns results matching the query term in cocktail names, ingredient names, or guide titles. Search cocktails by name or ingredients

Example Prompts for CocktailFyi in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with CocktailFyi immediately.

"Give me a classic Mojito recipe."

"What cocktails can I make with tequila?"

"What's the difference between shaking and stirring a cocktail?"

Troubleshooting CocktailFyi MCP Server with CrewAI

Common issues when connecting CocktailFyi to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

CocktailFyi + CrewAI FAQ

Common questions about integrating CocktailFyi MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.