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Winevybe MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Winevybe through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "winevybe": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Winevybe Agent",
    instructions:
      "You help users interact with Winevybe " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Winevybe?"
  );
  console.log(result.text);
}

main();
Winevybe
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Winevybe MCP Server

Connect your Winevybe developer account to any AI agent and take full control of sommelier intelligence and wine inventory tracking through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Winevybe tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Sommelier Recommender — Query for specific wine pairings and tasting notes magically linked behind intelligent algorithms
  • Inventory Management — Read and append bottle quantities to persistent user cellars safely via automated workflows
  • Vintage Auditing — Cross-reference a specific year to see if the region's climate conditions yielded good harvests
  • Pricing Comparisons — Compare distinct bottles instantly to analyze pricing versus critical community reception
  • Vineyard Profiling — Retrieve the underlying history and details of major worldwide producers and regions

The Winevybe MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Winevybe to Mastra AI via MCP

Follow these steps to integrate the Winevybe MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Winevybe via MCP

Why Use Mastra AI with the Winevybe MCP Server

Mastra AI provides unique advantages when paired with Winevybe through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Winevybe without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Winevybe tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Winevybe + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Winevybe MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Winevybe, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Winevybe as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Winevybe on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Winevybe tools alongside other MCP servers

Winevybe MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Winevybe to Mastra AI via MCP:

01

add_wine_to_cellar

Add a purchased bottle into a users virtual cellar tracker

02

compare_wines

Generate a side-by-side contrast of two bottles

03

get_pairings

Get food pairing recommendations for a specific wine

04

get_region_info

Retrieve details about wine-making appellations

05

get_reviews

Get community tasting reviews and ratings

06

get_user_cellar

Examine the inventory of an authenticated users wine cellar

07

get_vintage_scores

Get an overview of harvest qualities by year

08

get_wine_detail

Get profound tasting notes and stats on a specific wine

09

get_winery_info

Get profiles of specific vineyards and producers

10

search_wines

Search the Winevybe database for specific bottles

Example Prompts for Winevybe in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Winevybe immediately.

01

"Search for details on the Screaming Eagle Cabernet Sauvignon."

02

"Compare wine 4902 and wine 5910."

03

"Check my virtual cellar inventory."

Troubleshooting Winevybe MCP Server with Mastra AI

Common issues when connecting Winevybe to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Winevybe + Mastra AI FAQ

Common questions about integrating Winevybe MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Winevybe to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.