Cocktail API MCP Server for Cursor 8 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"cocktail-api": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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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.
Cursor's Agent mode turns Cocktail API into an in-editor superpower. Ask Cursor to generate code using live data from Cocktail API and it fetches, processes, and writes — all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Cocktail API MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Cocktail API
Open Agent mode in chat and ask: "Using Cocktail API, help me..." — 8 tools available
Why Use Cursor with the Cocktail API MCP Server
Cursor AI Code Editor provides unique advantages when paired with Cocktail API through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Cocktail API + Cursor Use Cases
Practical scenarios where Cursor combined with the Cocktail API MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Cocktail API MCP Tools for Cursor (8)
These 8 tools become available when you connect Cocktail API to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Cocktail API to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Cocktail API + Cursor FAQ
Common questions about integrating Cocktail API MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
