Global Wine Score MCP. Measure wine quality and track vintage trends.
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Global Wine Score gives you a single, normalized score for any wine, pulling data from the world's top critics. You can search by country, compare different vintages, or find the highest-rated red or white wines right now.
It combines ratings from sources like Wine Spectator and Parker into one confidence-weighted score (0-100) for quick, data-driven discovery.
What your AI agents can do
Get latest scores
Fetches the most recently published wine scores, giving you the current state of critical ratings.
Get top scores
Retrieves the absolute highest-rated wines, focusing on consensus scores from the world's most respected critics.
Scores by color
Gets top-rated wines filtered by color (Red, White, Rosé, Sparkling) and ranks them by score.
You can look up a wine's name and get its aggregated score, confidence index, and full data profile.
This tool pulls a list of wines that consistently score highly across the board, perfect for finding elite options.
It returns the top-rated wines, sorted by score, for a specific color like Red, White, or Sparkling.
You can view top-rated wines from a specific country, ideal for regional comparison.
The system returns top-rated wines from a chosen vintage, helping you compare years.
This fetches the latest wine scores published by major critics worldwide.
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Global Wine Score MCP Server: 6 Tools for Wine Analysis
Use these six tools to search, filter, and compare wine scores across any global region, vintage, or color type.
019d75a6get latest scores
Fetches the most recently published wine scores, giving you the current state of critical ratings.
019d75a6get top scores
Retrieves the absolute highest-rated wines, focusing on consensus scores from the world's most respected critics.
019d75a6scores by color
Gets top-rated wines filtered by color (Red, White, Rosé, Sparkling) and ranks them by score.
019d75a6scores by country
Returns the top-rated wines and scores from a specific country for regional comparison.
019d75a6scores by vintage
Retrieves top-rated wines from a specific harvest year, essential for comparing vintages.
019d75a6search wine scores
Searches for any specific wine and returns its normalized score (0-100), confidence index, and all associated data.
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What you can do with this MCP connector
Global Wine Score gives you a single, weighted score for any wine, pulling data from the world's top critics into one confidence-weighted number (0-100). You're looking for the best? You'll get the data, not the hype. You can search for any specific wine and get its normalized score, confidence index, and full data profile using search_wine_scores.
Need to know what's hot right now? get_latest_scores pulls the most recently published critical ratings. You want to find absolute winners? get_top_scores retrieves the highest-rated wines based on consensus from the world's most respected critics. You can narrow down your search by color; scores_by_color gets top-rated wines filtered by Red, White, Rosé, or Sparkling, ranking them by score.
Want to check out a specific area? Use scores_by_country to get top-rated wines and scores from a country, perfect for comparing regions. To compare years, scores_by_vintage retrieves top-rated wines from a specific harvest year. This system lets you look up a wine's name and get its aggregated score and confidence index; it lets you find elite options by retrieving the highest-rated wines across the board; it lets you filter results by color like Red or Sparkling; it lets you view top-rated wines from a country for regional comparison; it lets you compare years by checking a specific vintage.
How Global Wine Score MCP Works
- 1 Start by asking the agent what you want to find (e.g., 'Best Italian reds from 2018').
- 2 The agent determines the necessary filter (country, vintage, color) and calls the appropriate tool (e.g.,
scores_by_countryandscores_by_vintage). - 3 You receive a single, structured list of wines, each with a normalized score (0-100), the confidence index, and full details.
The bottom line is, instead of reading five different reviews, you get one reliable, standardized score for any wine.
Who Is Global Wine Score MCP For?
This is for the serious wine professional—the sommelier who has to recommend a bottle under pressure, or the collector who tracks investment-grade vintages. It’s for anyone tired of relying on a single, potentially biased critic’s opinion when making a big purchase or curating a list.
Quickly checks aggregated scores for multiple wines on a list, letting them recommend a choice with confidence, not just gut feeling.
Compares scores across different vintages or countries to track potential investment gains and verify long-term quality.
Identifies rising quality regions or top-scoring producers to vet their product line before a large purchase.
What Changes When You Connect
- Stop relying on single critics. The server normalizes scores from multiple sources, giving you a weighted score and a confidence index for every wine. This is a huge upgrade over reading random reviews.
- Compare years instantly. Use
scores_by_vintageto pit vintages against each other—for instance, comparing a 2010 vs. a 2018—and find out which one truly stands out. - Deep dive into regions. Need to compare Napa to Barolo? Run
scores_by_countryfor both. You get a clean, score-based comparison across different global areas. - Find the elite bottles.
get_top_scorespulls out wines that consistently score 95+ from consensus critics, meaning you don't have to wade through mediocre options. - Know the type first. If you just want a great white wine,
scores_by_colorhandles it. You filter by style, and it delivers the best scores for that category. - Pinpoint data fast. When you know the name, use
search_wine_scores. It’s the fastest way to get a wine’s current score and confidence index.
Real-World Use Cases
Client needs a pairing recommendation.
A sommelier needs to recommend a white wine for a seafood course. They use scores_by_color to filter for 'White' and then check the highest scores. They use search_wine_scores to pull the specific score and confidence index for the top 3 options, giving the client data-backed confidence.
Verifying a wine investment.
A collector suspects a specific year's Bordeaux might be undervalued. They run scores_by_vintage for that region and year, comparing it against the previous decade. They use get_top_scores to see if the general consensus supports the year, making a data-driven buying decision.
Researching a new market import.
A wine importer wants to know if Australian wines are currently trending. They first run scores_by_country for Australia, then drill down using scores_by_color to isolate the best Sparkling options. This helps them verify quality before committing to a large shipment.
Comparing two specific, famous wines.
A user needs to compare Château Margaux 2015 and Château Margaux 2016. They use search_wine_scores twice, feeding both names into the tool. The agent returns a side-by-side comparison of the aggregated scores, confidence index, and vintage details.
The Tradeoffs
Searching one dimension at a time
Running scores_by_country for Italy, then looking at the results, and then manually running scores_by_vintage for 2010 to compare. This requires jumping between multiple results pages and is slow.
→
Start with a broad filter, then refine. Use scores_by_country to narrow it to Italy, then pass the results to a multi-tool query that incorporates scores_by_vintage for 2010. This chains the data together without manual steps.
Over-relying on general top lists
Just calling get_top_scores and assuming the top result is perfect. It might be an outlier from a specific, limited critic group, and you miss the regional context.
→
Always cross-reference the top score with scores_by_country and scores_by_color. This ensures the top score is validated both regionally and by style, giving you a complete picture.
Ignoring the confidence score
Accepting a high score (99/100) without checking the confidence index. A high score could mean only two critics reviewed it, making the result unreliable.
→ Always pay attention to the confidence index. If the score is high but the confidence is low, the data isn't robust. Use the confidence index to gauge the reliability of the score.
When It Fits, When It Doesn't
Use this if you need a standardized, objective way to compare wine quality across different regions or years. This tool is essential for serious analysis—the kind of research that needs to cut through bias and hype. You should use it when your decision relies on knowing if a wine is objectively better than its competitors. Don't use it if you just want a quick, casual suggestion; use a general search or a single-source review instead. If your goal is to build a complex model correlating price to score, you'll need to gather data from multiple sources and synthesize it yourself, as the tools only provide the raw, normalized data.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Global Wine Score. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Available Capabilities
Trying to figure out which wine is actually worth the money.
Right now, you’re sifting through pages of reviews. You open the critic site, you open the regional guide, and you spend thirty minutes copy-pasting scores into a spreadsheet just to compare a 2015 Bordeaux against a 2018 Italian blend. It’s a mess. You're doing manual data assembly, and you’re losing track of the confidence index somewhere in the process.
With Global Wine Score, you ask your agent one question. It runs the necessary checks—maybe `scores_by_vintage` and `scores_by_country`—and hands you a single, structured report. You don't just get a number; you get context, a confidence index, and a clear comparison.
Global Wine Score MCP Server: Get definitive wine scores.
The biggest time sink is the comparison. You can't compare three different wines across three different regions using three different websites. You have to open three browser tabs and deal with three different score formats.
Now, you just ask. The server pulls the data, standardizes the score to a 0-100 scale, and presents it all in one place. It’s not just faster; it's structurally different. You get a single source of truth.
Common Questions About Global Wine Score MCP
How do I compare wines from different years using the `scores_by_vintage` tool? +
Use scores_by_vintage and specify the region and the years you want to compare. The tool returns a structured list, allowing you to see side-by-side score comparisons and identify trends between harvests.
Can I find the best wines of a certain color using `scores_by_color`? +
Yes, scores_by_color filters by style (Red, White, Rosé, Sparkling) and ranks the results by the normalized score. It's the best way to find the highest-rated options within a specific category.
What is the confidence index when using `search_wine_scores`? +
The confidence index shows how reliable the score is. A higher index means the score is based on a larger number of consistent reviews from major critics, making it more trustworthy.
How do I find the absolute top wines using `get_top_scores`? +
Run get_top_scores to get a curated list of elite wines. These are wines that consistently receive exceptional scores (95+) across the industry, regardless of specific region or vintage.
Can `scores_by_country` handle complex queries? +
It handles simple filtering by country, returning top-rated wines from that region. For complex comparisons (e.g., comparing three countries), you'll need to run the tool multiple times and synthesize the data yourself.
What parameters can I use when calling `search_wine_scores` to narrow down results? +
You can narrow results by specifying vintage, color, country, and region. This allows you to find a wine's score while filtering against multiple criteria.
Does `get_latest_scores` provide data for wines that aren't globally famous? +
Yes, get_latest_scores provides the most recent scores available, regardless of the wine's fame. It pulls data directly from the global critique pool.
If I need to compare specific wines, is `search_wine_scores` the right tool to use? +
Yes, search_wine_scores is the primary tool for comparison. It returns detailed data—score, confidence index, vintage, color, and country—for any matching wines you search for.
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.
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