CocktailFyi MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect CocktailFyi through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"cocktailfyi": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using CocktailFyi, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with CocktailFyi through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the CocktailFyi MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from CocktailFyi via MCP
Why Use LangChain with the CocktailFyi MCP Server
LangChain provides unique advantages when paired with CocktailFyi through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine CocktailFyi MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across CocktailFyi queries for multi-turn workflows
CocktailFyi + LangChain Use Cases
Practical scenarios where LangChain combined with the CocktailFyi MCP Server delivers measurable value.
RAG with live data: combine CocktailFyi tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CocktailFyi, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CocktailFyi tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every CocktailFyi tool call, measure latency, and optimize your agent's performance
CocktailFyi MCP Tools for LangChain (12)
These 12 tools become available when you connect CocktailFyi to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting CocktailFyi to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCocktailFyi + LangChain FAQ
Common questions about integrating CocktailFyi MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect CocktailFyi with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.