Wine-Searcher MCP. Get real-time global pricing and detailed wine profiles instantly.
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Wine-Searcher connects your AI agent to the world's largest wine price comparison database. It lets you check global pricing for any wine, look up critic scores, and trace details about grape varieties or regions from over 100,000 merchants worldwide.
Use it to get real-time market intelligence on anything from a specific vintage of Bordeaux to the best deal on a local Napa Cabernet.
What your AI agents can do
Grape info
Get detailed information about a specific grape variety, including its origins and ideal pairings.
Market price
Compare real-time global pricing for a wine across many different merchants to find the best deal.
Producer info
Get research data on a winery, listing their key wines and available vintages.
Retrieves global pricing (average/min/max), critic scores, alcohol content, and blend details for a specific wine.
Finds real-time purchase prices from 100,000+ merchants and provides direct buying links.
Executes full-text searches across the entire wine database for discovery and specific criteria matching.
Provides detailed information on a grape's origins, ideal growing regions, style profile, and food pairings.
Delivers deep dives into wine areas, covering climate data, soil composition, official appellations, and history.
Gathers comprehensive data on a specific winery, including their notable wines, price brackets, scores, and available vintages.
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Wine-Searcher: 6 Tools for Global Wine Data & Pricing
These six tools give your agent access to comprehensive wine data, allowing it to perform detailed lookups on pricing, regions, producers, and specific grape varietals.
019d7622grape info
Get detailed information about a specific grape variety, including its origins and ideal pairings.
019d7622market price
Compare real-time global pricing for a wine across many different merchants to find the best deal.
019d7622producer info
Get research data on a winery, listing their key wines and available vintages.
019d7622region info
Retrieve deep information about a wine region, covering its climate, soil type, and appellations.
019d7622search wines
Search the entire database for wines that match your criteria, providing scores and availability.
019d7622wine check
Perform a primary lookup to get comprehensive details on any wine, including global pricing ranges and critic scores.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Wine-Searcher, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
You connect your AI agent to Wine-Searcher—it's the biggest wine price comparison engine out there. It gives you live market data for any wine, anywhere in the world.
wine_check: Run a primary lookup on a specific bottle to get instant details. You can find global pricing ranges (average, minimum, and maximum costs), the critic scores, alcohol content (ABV), and the full blend breakdown for that particular wine.
market_price: Compare real-time purchase prices from over 100,000 merchants worldwide. This tool lists shop names, their locations, and direct buying links so you know exactly where to buy it at the best deal.
search_wines: Need to explore? You can run a full-text search across the entire wine database. Use this for discovery—you find wines based on criteria like style, region, or vintage year, and the results show you available scores and current stock levels.
grape_info: Get deep dives into specific grape varieties. You learn about a grape’s origins and ideal growing regions, its typical style profile, and classic food pairings that go with it.
region_info: Understand a wine's place of birth by running this tool. It delivers detailed profiles on the entire wine area, covering critical data points like climate patterns, soil composition, official appellations, and historical background.
producer_info: Research wineries directly. This gives you comprehensive data about an actual producer, listing their key wines, typical price brackets for those bottles, published scores, and which vintages they usually release.
How Wine-Searcher MCP Works
- 1 You tell your agent what you need—for instance, 'What's the best deal on a 2018 Bordeaux?'
- 2 The agent calls the specific tool needed (e.g.,
market_price) using the wine name and criteria. - 3 It returns a structured report with global pricing, merchant details, scores, and buying links.
The bottom line is you get actionable market intelligence on any wine or region without leaving your chat interface.
Who Is Wine-Searcher MCP For?
This tool is built for the people who live by detail: Sommeliers needing instant service knowledge, Wine Retailers tracking competitive pricing, and Importers running global market research. If you work with high-value goods where provenance and price matter, this is your endpoint.
Checks wine details and finds pairing suggestions instantly during service; needs to know the score and ABV right now.
Runs competitive pricing analysis across multiple regions or producers to decide what inventory to stock next month.
Gathers global pricing intelligence and performs producer research to validate sourcing opportunities overseas.
What Changes When You Connect
- Real-Time Pricing: Use
market_priceto compare current costs across 100,000+ merchants. You stop guessing the price and start knowing the actual buying range. - Instant Product Lookup: Run a quick check with
wine_check. It gives you the score, ABV, and global min/max pricing for any wine in seconds. - Deep Discovery: Forget browsing menus; use
search_winesto run full-text queries against the entire database, finding niche wines by style or year. - Know Your Terroir: When you need background context,
region_infodelivers instant reports on climate and soil. It's crucial for understanding why a wine tastes the way it does. - Understand the Grape: Need to educate a client?
grape_infoprovides detailed profiles—origins, styles, and perfect food pairings—all in one go.
Real-World Use Cases
Client Needs an Immediate Price Check
A sommelier needs to quote a client on the spot. Instead of pulling out a physical guide and calling three different distributors, they ask their agent to use wine_check. The result instantly gives them the global average price range and critic scores for that specific vintage.
Finding the Best Global Deal
A wine buyer wants to know where to buy a rare producer's wine. They run producer_info first, then use market_price on the exact name and year. This pinpoints not just if it's available, but which specific shop has the best current price.
Researching a New Market Segment
An importer is looking into wines from an unfamiliar area. They first use region_info to understand the local climate and soil (the terroir). Then, they can use search_wines to see what types of grapes or producers are common in that newly researched region.
Validating a Wine Pairing
A client orders a wine made from an obscure grape. The agent uses grape_info on the variety name, which instantly provides historical context, typical styles, and suggests optimal food pairings for the staff to use during service.
The Tradeoffs
Treating it like a general search bar
Asking the agent, 'Tell me about wine prices, scores, and regions.' This is too vague for any tool to handle properly.
→
Be specific. If you need pricing, use market_price and provide the exact wine name/vintage. If you just want background, start with region_info. Always point your query at one of the six specialized tools.
Ignoring Vintage Details
Asking only for 'Opus One.' This is useless because pricing and scores change every year.
→
Always include the vintage (e.g., 'Opus One 2018'). Your agent needs this detail to correctly run wine_check or market_price.
Using one tool when two are needed
Just using producer_info and assuming it has current pricing. It won't.
→
Use producer_info for background/history, but if you need to buy the wine right now, you must follow up with market_price. They serve different functions.
When It Fits, When It Doesn't
Use this MCP Server when your query requires cross-domain knowledge: linking a specific product (wine) to its market value, its biological source (grape), or its origin story (region). You need structured data like global price ranges and verifiable scores. Don't use it if you are just looking for general advice—ask an LLM chatbot directly. Conversely, don't rely on it if you only need a simple definition of 'merlot'; that's basic knowledge. If your task is complex (e.g., 'Compare the market price of two different producers from the same region'), this server allows you to chain calls together reliably using market_price and producer_info. Never use it if you suspect the data might be outdated; assume real-time pricing requires a direct call via market_price.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wine-Searcher. 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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
The Problem: Getting wine details is a massive headache.
Right now, finding solid wine information means jumping through hoops. You check one site for scores; you go to another for pricing; then you search a third database just to figure out the grape's origin. Copying data from merchant A into your spreadsheet and cross-referencing it with the region profile is tedious, slow work.
With Wine-Searcher MCP, all that context lives in one place. You ask about a wine—say, 'What are the scores for 2019 Barolo?'—and you get back a single, structured response containing market data from multiple merchants and the official critic scores. It’s immediate and complete.
Wine-Searcher MCP Server: Get global pricing and profiles.
Manual research requires separate steps for every piece of data. You have to run a dedicated search query (`search_wines`) just to find the name, then run another tool (`grape_info`) to understand its base, and finally use `market_price` just to see if it’s available today.
Now, your agent handles the orchestration. It takes your single request—'Check this bottle.'—and runs multiple internal checks simultaneously. You get a unified view that saves you minutes of clicking and hours of frustration.
Common Questions About Wine-Searcher MCP
How do I check the price for a wine using `market_price`? +
You provide the specific wine name, vintage, and region. The tool returns real-time pricing from over 100,000 merchants globally, showing average costs and direct links.
Is `wine_check` better than `search_wines`? +
wine_check is for known wines—it's a deep lookup tool. search_wines is for discovery; you use it when you don't know the name but know criteria, like 'red wine from Napa over $100.'
What kind of data does `grape_info` provide? +
grape_info gives you the technical background on a grape: where it comes from, what styles are typical for it, and classic food pairings to help with service.
Can I use `producer_info` to track price changes? +
producer_info gives you the winery's profile (key wines, scores). To get current pricing data for those wines, you must use market_price separately.
How does using `wine_check` handle specific vintage years? +
You must include the year in your query for accurate results. The tool requires a full name and vintage (e.g., 'Château Margaux 2015') to pull correct pricing, scores, and blend data.
If I use `market_price` and no merchants list the wine, what response do I get? +
It returns a structured 'No data found' status. This means your agent can reliably check for zero results instead of failing with an error or null value.
Can `region_info` provide deep geological analysis beyond terroir details? +
The tool focuses on appellation and established wine traditions. It provides climate, soil type, and historical context, but not raw geological measurements like mineral composition percentages.
Is there a way to bulk search multiple wines using `search_wines`? +
Yes. You can pass a list of keywords or names in one request. The tool aggregates results across the entire database, giving you comparative data for several items at once.
Is Wine-Searcher API free? +
Wine-Searcher offers a free trial (100 calls/day). After the trial, paid plans are available based on daily call volume.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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