CocktailFyi MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CocktailFyi as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to CocktailFyi. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in CocktailFyi?"
)
print(response)
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.
LlamaIndex agents combine CocktailFyi tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the CocktailFyi MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from CocktailFyi
Why Use LlamaIndex with the CocktailFyi MCP Server
LlamaIndex provides unique advantages when paired with CocktailFyi through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CocktailFyi tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CocktailFyi tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CocktailFyi, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CocktailFyi tools were called, what data was returned, and how it influenced the final answer
CocktailFyi + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CocktailFyi MCP Server delivers measurable value.
Hybrid search: combine CocktailFyi real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CocktailFyi to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CocktailFyi for fresh data
Analytical workflows: chain CocktailFyi queries with LlamaIndex's data connectors to build multi-source analytical reports
CocktailFyi MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect CocktailFyi to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting CocktailFyi to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCocktailFyi + LlamaIndex FAQ
Common questions about integrating CocktailFyi MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.