🍷 Vino-MCP

Make wine callable by AI.

Vino-MCP is an MCP server that helps AI assistants understand wine context, recommend suitable bottles, and route users to real suppliers.

This is not another wine shop.
It is the connection layer between AI agents and real wine supply.

Why this matters

The next wine search may not start on a marketplace.
It may start inside an AI assistant.

A user will not necessarily open a wine app, browse dozens of labels, and guess what to buy.
They may simply say:

“I’m having steak tonight, budget €30, and I want a smooth Italian red.”

An AI assistant using Vino-MCP can return:

• pairing-aware wine suggestions
• budget and taste matching
• explainable recommendation logic
• supplier or merchant routing

That is the shift.

What Vino-MCP does

Vino-MCP turns wine knowledge, pairing logic, and supplier access into an AI-callable capability layer.

It helps AI agents:

• understand dining context, occasion, budget, and taste preferences
• recommend wines with clear reasoning
• map recommendations to real bottles or supplier catalogs
• route users toward real merchants, producers, or fulfillment paths

Who it is for

For AI assistants

Add wine recommendation and supplier routing as a native capability.

For wine producers and merchants

Become reachable inside the AI-native buying journey.

For developers and partners

Use a standard MCP interface for wine recommendation, pairing, and supplier connection.

The idea in one sentence

If a local restaurant can become callable by AI, wine should be callable too.

Vino-MCP is built for that future.

Example use cases

• “What wine should I bring to a dinner party under €50?”
• “I’m cooking pasta with truffle tonight. What Italian wine pairs well?”
• “I need a gift bottle for a client. Elegant, safe choice, not too aggressive.”
• “Find me a smooth red from Italy for someone who dislikes tannins.”

Why now

AI assistants are becoming decision interfaces.

Users are starting to express intent directly to AI: not just search for products, but help me choose well.

Wine is a perfect category for this shift because buying wine is rarely about raw inventory alone.
It depends on context, taste, pairing, confidence, and trust.

Vino-MCP is designed to make that layer callable.

Current focus

• Italy
• France
• selected global wine regions

Initial focus includes:

• wine recommendation logic
• food pairing
• taste profile matching
• supplier routing
• merchant integration pathways

Vision

We are not building for clicks.
We are building for agent-driven commerce.

We believe future commerce will not only be human-to-platform.
A growing part of it will be agent-to-supply.

Vino-MCP is an early protocol layer for that transition.

About

Vino-MCP is initiated and maintained by JOJO IMPORT SRL, Italy.

We are building toward a future where wine discovery, selection, and sourcing can be natively understood and executed by AI agents.

Status

Early-stage protocol direction.
README and interface scope are being refined.