VineRadar MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect VineRadar through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"vineradar": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "VineRadar Agent",
instructions:
"You help users interact with VineRadar " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with VineRadar?"
);
console.log(result.text);
}
main();
* 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 VineRadar MCP Server
Empower your AI agent to orchestrate your entire wine research and vineyard auditing workflow with VineRadar, the comprehensive platform for global wine data. By connecting VineRadar to your agent, you transform complex varietal searches into a natural conversation. Your agent can instantly search for specific wines, audit vineyard locations, and retrieve detailed vintage metadata without you ever touching a wine app. Whether you are building a personal cellar or conducting market research on varietals, your agent acts as a real-time sommelier, ensuring your data is always detailed and well-categorized.
Mastra's agent abstraction provides a clean separation between LLM logic and VineRadar tool infrastructure. Connect 6 tools through the 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
- Wine Auditing — Search for thousands of wines by name or keyword and retrieve detailed metadata, including ratings and vintages.
- Vineyard Oversight — Browse vineyard profiles by location to maintain a clear view of regional wine production.
- Varietal Discovery — Query wine varietals to understand the technological and regional distribution of specific grape types instantly.
- Vintage Intelligence — Retrieve full details for specific wine IDs to assist in deep-dive collection audits.
- Market Monitoring — List all supported varietals in the VineRadar catalog to identify trending wine themes in real-time.
The VineRadar MCP Server exposes 6 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 VineRadar to Mastra AI via MCP
Follow these steps to integrate the VineRadar MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from VineRadar via MCP
Why Use Mastra AI with the VineRadar MCP Server
Mastra AI provides unique advantages when paired with VineRadar through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add VineRadar without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every VineRadar tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
VineRadar + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the VineRadar MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query VineRadar, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed VineRadar as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query VineRadar on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using VineRadar tools alongside other MCP servers
VineRadar MCP Tools for Mastra AI (6)
These 6 tools become available when you connect VineRadar to Mastra AI via MCP:
check_api_status
Check if the VineRadar API is operational
get_vineyard_details
Get full details for a specific vineyard by ID
get_wine_details
Get full details for a specific wine by ID
list_wine_varietals
List all wine varietals supported by VineRadar
search_vineyards
Search for vineyards by location
search_wines
Search for wines by name or keyword
Example Prompts for VineRadar in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with VineRadar immediately.
"Search for 'Cabernet Sauvignon' wines using VineRadar."
"Find vineyards in 'Napa Valley'."
"What are the details for wine ID 12345?"
Troubleshooting VineRadar MCP Server with Mastra AI
Common issues when connecting VineRadar to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpVineRadar + Mastra AI FAQ
Common questions about integrating VineRadar MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect VineRadar with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect VineRadar to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.