Cocktail API MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cocktail API through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Cocktail API Assistant",
instructions=(
"You help users interact with Cocktail API. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cocktail API"
)
print(result.final_output)
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 Cocktail API MCP Server
Empower your AI agent to orchestrate your entire mixology research and recipe auditing workflow with the Cocktail API, the comprehensive source for global drink data. By connecting the API Ninjas Cocktail API to your agent, you transform complex recipe searches into a natural conversation. Your agent can instantly retrieve cocktail details, audit ingredient lists, and query preparation instructions without you ever touching a drink portal. Whether you are planning a menu or conducting regional mixology research, your agent acts as a real-time sommelier, ensuring your data is always precise and localized.
The OpenAI Agents SDK auto-discovers all 8 tools from Cocktail API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Cocktail API, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Recipe Auditing — Search for thousands of cocktail recipes by name and retrieve detailed metadata, including ingredient lists and instructions.
- Ingredient Oversight — Find cocktails matching specific ingredients to understand the thematic distribution of flavors instantly.
- Discovery by Theme — Query recipes containing base spirits like 'vodka' or 'tequila' to identify relevant assets for your menu.
- Preparation Intelligence — Retrieve full step-by-step instructions for any cocktail to assist in deep-dive mixology classification.
- Classic Variations — Instantly retrieve classic iterations of standard beverages, from margaritas to martinis.
The Cocktail API MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Cocktail API to OpenAI Agents SDK via MCP
Follow these steps to integrate the Cocktail API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Cocktail API
Why Use OpenAI Agents SDK with the Cocktail API MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cocktail API through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Cocktail API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cocktail API MCP Server delivers measurable value.
Automated workflows: build agents that query Cocktail API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Cocktail API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cocktail API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cocktail API to resolve tickets, look up records, and update statuses without human intervention
Cocktail API MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Cocktail API to OpenAI Agents SDK via MCP:
get_classic_margaritas
Get classic Margarita variations
get_classic_martinis
Get classic Martini variations
get_cocktails_by_ingredients
Find cocktail recipes by specific ingredients
get_gin_cocktails
Get popular Gin cocktails
get_rum_cocktails
Get popular Rum cocktails
get_tequila_cocktails
Get popular Tequila cocktails
get_vodka_cocktails
Get popular Vodka cocktails
search_cocktails
Search for cocktail recipes by name
Example Prompts for Cocktail API in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cocktail API immediately.
"Get the recipe for a 'Margarita' using Cocktail API."
"Find cocktails that contain 'vodka' and 'coffee'."
"Show recipes for 'Gin and Tonic'."
Troubleshooting Cocktail API MCP Server with OpenAI Agents SDK
Common issues when connecting Cocktail API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cocktail API + OpenAI Agents SDK FAQ
Common questions about integrating Cocktail API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Cocktail API 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 Cocktail API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.