How to Use the Cocktail API MCP in CrewAI

Q: How do I limit the tools my agents use in the Cocktail API via CrewAI?

Use the toolfilter option in your agent definition to select only the tools you need. This prevents agents from using unnecessary functions. It keeps your agent scope tight.

Deploy specialized cocktail research agents in CrewAI to manage complex drink menus and recipe databases.

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Connect Cocktail API MCP to CrewAI

Create your Vinkius account to connect Cocktail API to CrewAI 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 CrewAI

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Collaborative recipe research with CrewAI

Assign one agent to run `get_classic_margaritas` and another to verify the results. CrewAI coordinates these agents so they share memory, preventing duplicate work. This turns your crew into a recipe research engine. You get better results because agents focus on their specific tasks.

Specialized agent tools for CrewAI

Use `get_gin_cocktails` and `get_rum_cocktails` to build a multi-agent team that categorizes drinks. One agent searches, while the other formats the output for the user. This separation of duties keeps your agents efficient. They don't waste time on tasks outside their expertise.

Hierarchical recipe management in CrewAI

Implement a manager agent that delegates queries to `search_cocktails`. The manager decides which tool to use based on the user's initial request. This removes the need for manual orchestration. Your crew handles the entire process from search to final summary.

Setup guide

Set up Cocktail API MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Cocktail API tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Cocktail API Analyst",
    goal="Access and analyze Cocktail API data via MCP.",
    backstory="Expert analyst with direct Cocktail API access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Cocktail API transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Cocktail API Analyst",
        goal="Access and analyze Cocktail API data via MCP.",
        backstory="Expert analyst with direct Cocktail API access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Cocktail API transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

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 CrewAI

Include the server URL in your agent's mcps list within the CrewAI configuration. The agents will automatically discover the tools and start using them. It's a direct setup.

Yes, agents share a memory buffer. Once one agent retrieves a recipe, others can access that data for their own tasks. It makes your team more effective.

It does. The manager agent can filter which tools are available to specific subordinates. This keeps your crew focused on relevant tasks.

Use the tool_filter option in your agent definition to select only the tools you need. This prevents agents from using unnecessary functions. It keeps your agent scope tight.

All recipe requests are processed in a zero-trust environment. The server uses strict access controls to ensure your search queries are never exposed to other users. Security is enforced at the transport level.

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