CocktailFyi MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add CocktailFyi as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="cocktailfyi_agent",
tools=tools,
system_message=(
"You help users with CocktailFyi. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use CocktailFyi tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the CocktailFyi MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from CocktailFyi automatically
Why Use AutoGen with the CocktailFyi MCP Server
AutoGen provides unique advantages when paired with CocktailFyi through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use CocktailFyi tools to solve complex tasks
Role-based architecture lets you assign CocktailFyi tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive CocktailFyi tool calls
Code execution sandbox: AutoGen agents can write and run code that processes CocktailFyi tool responses in an isolated environment
CocktailFyi + AutoGen Use Cases
Practical scenarios where AutoGen combined with the CocktailFyi MCP Server delivers measurable value.
Collaborative analysis: one agent queries CocktailFyi while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from CocktailFyi, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using CocktailFyi data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process CocktailFyi responses in a sandboxed execution environment
CocktailFyi MCP Tools for AutoGen (12)
These 12 tools become available when you connect CocktailFyi to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting CocktailFyi to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"CocktailFyi + AutoGen FAQ
Common questions about integrating CocktailFyi MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect CocktailFyi with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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 CocktailFyi to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
