# Global Wine Score MCP

> Global Wine Score aggregates scores from the world's top wine critics—Parker, Wine Spectator, Jancis Robinson, and more. This MCP normalizes these ratings into a single score out of 100, giving you vintage analysis, country comparisons, or instant checks on elite wines based on confidence levels.

## Overview
- **Category:** data-analytics
- **Price:** Free
- **Tags:** wine-ratings, data-normalization, critic-scores, vintage-analysis, market-intelligence

## Description

Stop guessing about wine quality. This connector gives your agent access to an objective view of global wine criticism. Instead of sifting through dozens of articles and conflicting reports, you get a normalized score with a clear index showing how reliable that number is. You can ask for the top wines from Bordeaux in a specific year or compare vintages directly against each other. Whether you're curating a restaurant list or just trying to figure out if a bottle is worth the price tag, this MCP handles the heavy lifting. It lets you filter by color—red, white, rosé—or explore regional hotspots like California versus Tuscany. If your current AI client setup feels limited, connecting through Vinkius gives you access to thousands of specialized tools, and Global Wine Score is one of the most useful data sets for wine enthusiasts and professionals alike.

## Tools

### get_latest_scores
Retrieves the most recently published wine ratings, weighted by confidence index and vintage context.

### search_wine_scores
Finds specific wine details, returning the normalized score (0-100), confidence index, country, and vintage.

### scores_by_color
Returns the highest scores available, filtering only by wine color (Red, White, Rosé, or Sparkling).

### scores_by_country
Gathers top-rated wines from a specific country for regional exploration and comparison.

### scores_by_vintage
Compares scores and trends for wines harvested in a single, specified year.

### get_top_scores
Identifies consensus top-rated wines, ideal for serious collectors looking at investment-grade finds.

## Prompt Examples

**Prompt:** 
```
What are the highest-rated Italian wines of 2020?
```

**Response:** 
```
⭐ **Top Italian Wines — 2020 Vintage**

1. **Masseto 2020** — Toscana
   ⭐ **98/100** 🎯 Confidence: Very High
   🍷 Red | 📍 Bolgheri

2. **Sassicaia 2020** — Tenuta San Guido
   ⭐ **97/100** 🎯 Confidence: Very High
   🍷 Red | 📍 Bolgheri

3. **Barolo Monfortino 2016** — Giacomo Conterno
   ⭐ **97/100** 🎯 Confidence: High
   🍷 Red | 📍 Barolo

4. **Tignanello 2020** — Antinori
   ⭐ **96/100** 🎯 Confidence: Very High
   🍷 Red | 📍 Toscana
```

**Prompt:** 
```
Compare the scores for Château Margaux 2015 and 2016.
```

**Response:** 
```
Château Margaux 2015 has an outstanding aggregated score of 98.7/100, while the 2016 vintage received an almost perfect consensus of 99.1/100, both with a Very High confidence index.
```

**Prompt:** 
```
Find the top-rated California Cabernet Sauvignon from 2018.
```

**Response:** 
```
The top-rated California Cabernet Sauvignon from 2018 is Promontory by Harlan Estate, boasting an aggregated Global Wine Score of 98.5/100 with a High confidence rating.
```

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## Use Cases

### Need to recommend a wine for a large corporate dinner.
A sommelier needs to narrow down options. They ask the agent to run scores_by_country for Napa Valley and then filter using scores_by_color for red wines. This quickly provides a handful of top-rated, safe choices they can recommend with confidence.

### Comparing wine investments from different years.
An investor wants to know if the 2018 Bordeaux vintage is better than the 2015. They use scores_by_vintage, which pulls up comparative data for the region across both specified harvest years, letting them make a data-backed buying decision.

### Quickly verifying a wine score during a tasting.
A user knows they are drinking 'Château Lafite Rothschild 2010' and needs to know its consensus rating. They use search_wine_scores, which immediately returns the normalized aggregate score and confidence index for quick verification.

### Discovering a new niche market in wine.
A buyer is expanding into sparkling wines. They run scores_by_color specifically for 'Sparkling' to see top-rated options from around the world, immediately identifying quality gaps and opportunities.

## Benefits

- Instant comparison: Using search_wine_scores, you get a normalized score for any wine and see its confidence index right away. No guesswork required.
- Deep dive by region: Run scores_by_country to compare the best of France versus Italy in one go, simplifying complex market decisions.
- Investment focus: Scores_by_vintage helps collectors quickly spot exceptional years that might appreciate over time, making research easier.
- Curating menus: Use scores_by_color if you need quick recommendations for a specific meal type (e.g., finding the best white wine option).
- Catching the hype: get_top_scores instantly shows you the consensus elite wines, filtering out noise and focusing on proven quality.
- Staying current: get_latest_scores keeps your knowledge up-to-date with what critics are saying right now.

## How It Works

The bottom line is you get one reliable number and context on whether that number is trustworthy.

1. You ask your agent to find wines based on criteria like region, year, or color.
2. The MCP runs the query against its aggregated database of critical reviews, normalizing all data points into a consistent 0-100 score.
3. Your agent returns a curated list of top scores, showing not just the rating but also the confidence index for every result.

## Frequently Asked Questions

**How do I use the search_wine_scores tool to check a specific bottle?**
You simply ask your agent for the wine name and year. The search_wine_scores tool returns its normalized score, confidence index, vintage, color, and country all in one result.

**Can I compare wines from different years using scores_by_vintage?**
Yes. This specialized tool is designed for that exact use case. It pulls comparable data points across multiple harvests within the same region or grape variety.

**What is the best way to find elite, high-scoring wines with get_top_scores?**
Use the get_top_scores tool. This automatically filters for consensus top picks from major critics, which is perfect if you're looking at investment potential.

**How do I search for white wine options in a region using scores_by_country?**
You can filter by both. First, use scores_by_country to narrow it down to the desired country. Then, refine that list with scores_by_color and specify 'White' to get relevant results.

**Does get_latest_scores show me current trends?**
Yes. This tool surfaces the most recently published ratings from top critics worldwide, keeping your knowledge up-to-date with what’s currently popular or highly rated.

**How does using search_wine_scores help me understand the confidence index?**
The score isn't just a single number. The aggregated rating includes a confidence index, which shows how consistent and numerous the reviews were across global critics. A high confidence means you can trust the normalized score more.

**Can I combine regional filters with color options using scores_by_country?**
You absolutely can cross-reference them. While `scores_by_country` gives you a region's top wines, your agent can refine that search by specifying the wine color (Red, White, etc.) to narrow down results quickly.

**If I want to benchmark my own collection, is get_top_scores the right tool?**
Yes. `get_top_scores` pulls consensus ratings of 95+, giving you a reliable standard for what truly exceptional wines look like globally. Use this data point to measure your existing cellar's potential.

**How is this different from Wine-Searcher?**
Wine-Searcher focuses on pricing and market availability. Global Wine Score focuses exclusively on critic ratings — aggregating and normalizing scores from multiple reviewers into one objective number with a confidence index.

**Which wine critics are included in the aggregated scores?**
Global Wine Score aggregates ratings from major publications including Wine Advocate (Parker), Wine Spectator, Jancis Robinson, Vinous, Decanter, and several others to create a single normalized score.

**What does the confidence index mean?**
The confidence index reflects how reliable the aggregated score is. It takes into account the number of critics who reviewed the wine and the variance between their individual scores.