How to Use the VineRadar MCP in Mastra AI

Q: Can I search for wines using VineRadar with Mastra AI?

Yes. You use the searchwines tool to query records by name or keyword. This is perfect for initial data gathering in a larger workflow.

Q: How do I get vineyard specifics using VineRadar with Mastra AI?

You call getvineyarddetails providing a specific ID. Mastra AI executes this lookup and ensures that the returned data is reliably passed to subsequent steps in your workflow.

Q: Does the MCP Server support searching by location for vineyards?

Yes, use searchvineyards. The Mastra AI client can execute this tool, even if it needs to retry due to temporary network issues.

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Create your Vinkius account to connect VineRadar 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 VineRadar with Mastra AI

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Perplexity

Automated varietal audit via the Mastra AI MCP Server

You can build a complex workflow that needs to verify wine types. Use `list_wine_varietals` to pull all supported varietals into your agent's memory. If the initial check fails, the built-in retry logic handles it. The Mastra AI client ensures the whole process completes gracefully, giving you a reliable list of available options.

Multi-step wine research with the MCP Server

Run a multi-stage audit: first, search for vineyards using `search_vineyards`. Then, take the resulting IDs and call `get_wine_details` for each. The Mastra AI framework manages this sequence. If one of the detail lookups fails (e.g., missing data), the workflow doesn't crash; it logs the failure and continues processing the rest.

Checking system health with VineRadar’s API status

Build a pre-flight check into your agent workflow using `check_api_status`. This step verifies if the entire MCP Server is online before running expensive queries. This conditional branching ensures that if the source data feed is down, your complex process simply fails fast and notifies an admin, rather than hanging or returning junk.

Setup guide

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

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

const result = await agent.generate(
  "List recent VineRadar 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 VineRadar. 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 VineRadar MCP in Mastra AI

Yes. You use the `search_wines` tool to query records by name or keyword. This is perfect for initial data gathering in a larger workflow.

The server handles wine details, vineyard location data, and varietal lists. The MCP Server processes all this information to ensure your workflows are complete.

You call `get_vineyard_details` providing a specific ID. Mastra AI executes this lookup and ensures that the returned data is reliably passed to subsequent steps in your workflow.

Yes, use `search_vineyards`. The Mastra AI client can execute this tool, even if it needs to retry due to temporary network issues.

The server checks the operational status of the core API. This involves a simple boolean check on the overall system connectivity.

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