How to Use the Winevybe MCP in Mastra AI

Q: Can I automatically check my cellar inventory with Winevybe and Mastra AI?

Yes. You can define a workflow that calls getusercellar, checks the bottle count, and then perhaps sends an alert if it drops below a certain threshold.

Q: What kind of search queries does Winevybe support with Mastra AI?

You can build advanced searches using searchwines, allowing your agent to iterate through results and gather detailed profiles for multiple types of bottles.

Build complex Winevybe workflows with Mastra AI's resilient agent framework.

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Connect Winevybe MCP to Mastra AI

Create your Vinkius account to connect Winevybe 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 Winevybe with Mastra AI

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Automated Winery Research

Use `get_winery_info` to build a multi-step workflow for research. If the initial search fails, you can set up Mastra AI to automatically retry with different parameters or notify an admin. This means your agent handles failures gracefully, making it reliable for complex tasks like researching global producers.

Comparing Wines on Mastra AI

`compare_wines` lets you build a conditional workflow. For instance, if the user wants to compare two bottles and one is unknown, your agent can first run `get_wine_detail` to pull missing data before generating the final comparison. It handles these multi-step dependencies automatically.

Managing Winevybe Cellar Data

`get_user_cellar` allows your Mastra AI workflow to check a user's inventory. You can build sequences that first verify the user's cellars and then use `get_reviews` to pull community ratings for those specific bottles. This creates automated, multi-source data collection.

Setup guide

Set up Winevybe 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 Winevybe 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: "winevybe-mcp-client",
  servers: {
    "winevybe-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Winevybe MCP in Mastra AI

Mastra AI runs your wine queries in complex workflows. You can define steps—like first getting `get_vintage_scores` and then using that data to suggest pairings via `get_pairings`.

Yes. You can define a workflow that calls `get_user_cellar`, checks the bottle count, and then perhaps sends an alert if it drops below a certain threshold.

Yes. You can build workflows that take wine input and automatically call `get_pairings` to provide food recommendations, even handling retries if the initial request fails.

You can build advanced searches using `search_wines`, allowing your agent to iterate through results and gather detailed profiles for multiple types of bottles.

The server handles both structured text (like winery names) and quantitative data, such as specific wine ratings or vintage scores.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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