How to Use the Wine-Searcher MCP in Mastra AI

Q: How do I handle wine search pricing with Wine-Searcher and Mastra AI?

You use marketprice to get the global cost data. Because you're using Mastra AI, you can build a workflow that automatically retries the price check if the initial request fails, ensuring your agent always gets usable market data.

Q: Can I gather producer info with Wine-Searcher and Mastra AI?

Yes, use producerinfo. Your workflow can automatically collect winery details. This is critical for building robust research pipelines that require multiple pieces of background data.

Q: Does Wine-Searcher and Mastra AI help with regional validation?

The regioninfo tool provides the necessary terroir education. You can build a multi-step process where your agent validates the region, and if it fails, it flags the error for human review.

Q: What about checking wine details with Wine-Searcher and Mastra AI?

The winecheck tool is primary here. You can build a full workflow that gathers everything—grape types, regions, alcohol content, and average pricing—in one sequence, guaranteeing data integrity.

Build complex wine research pipelines with Mastra AI’s reliable workflow engine.

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Connect Wine-Searcher MCP to Mastra AI

Create your Vinkius account to connect Wine-Searcher to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Wine-Searcher with Mastra AI

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Track global market pricing changes

Need to know the best deal? The `market_price` tool gets you global market pricing for comparison and deep analysis. You can build a multi-step workflow that checks prices across multiple regions, handling failures if one endpoint is down. This reliability lets your agent retry the price check with exponential backoff until it gets usable data.

Research winery background info

Use `producer_info` when you're building a complex research workflow. This tool pulls detailed producer and winery information, allowing your agent to gather brand intelligence step-by-step. The resulting data can feed into subsequent steps, like cross-referencing the winery with its regional profile.

Determine region specific details

The `region_info` tool gives essential terroir education and regional context. You might use this to validate a wine's origin before sending it to another service. Since Mastra AI handles workflows, you can set up conditional branching: *if* the region is unknown, then notify an admin for manual review.

Setup guide

Set up Wine-Searcher MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Wine-Searcher tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "wine-searcher-mcp-client",
  servers: {
    "wine-searcher-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Wine-Searcher Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Wine-Searcher tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Wine-Searcher transactions"
);
console.log(result.text);

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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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Common questions about Wine-Searcher MCP in Mastra AI

You use `market_price` to get the global cost data. Because you're using Mastra AI, you can build a workflow that automatically retries the price check if the initial request fails, ensuring your agent always gets usable market data.

Yes, use `producer_info`. Your workflow can automatically collect winery details. This is critical for building robust research pipelines that require multiple pieces of background data.

The `region_info` tool provides the necessary terroir education. You can build a multi-step process where your agent validates the region, and if it fails, it flags the error for human review.

The `wine_check` tool is primary here. You can build a full workflow that gathers everything—grape types, regions, alcohol content, and average pricing—in one sequence, guaranteeing data integrity.

This server touches public market data. It handles global pricing points, critic scores, grape varieties, regions, and producer names. The MCP Server keeps all this data strictly within the workflow context.

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