InnoVint MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect InnoVint 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: {
"innovint": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "InnoVint Agent",
instructions:
"You help users interact with InnoVint " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with InnoVint?"
);
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 InnoVint MCP Server
Connect your InnoVint winery to any AI agent and transform how your cellar team works — from harvest intake to bottling.
Mastra's agent abstraction provides a clean separation between LLM logic and InnoVint tool infrastructure. Connect 10 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
- Lots — Search and track wine lots by varietal, vintage, lot code, or vessel assignment
- Vessels — Monitor tanks, barrels, concrete eggs, and amphorae — capacity, fill level, and contents
- Lab Analyses — View pH, TA, SO2, Brix, RS, VA, and alcohol readings for any lot over time
- Cellar Actions — Track rackings, pump-overs, punchdowns, additions, fining, and filtration history
- Wines & Vintages — Browse wine products and navigate production by vintage year
- Additives — Reference registered chemicals, enzymes, and fining agents with dosage guidelines
- Multi-Winery — Manage multiple wineries from a single AI connection
The InnoVint 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 InnoVint to Mastra AI via MCP
Follow these steps to integrate the InnoVint 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 10 tools from InnoVint via MCP
Why Use Mastra AI with the InnoVint MCP Server
Mastra AI provides unique advantages when paired with InnoVint through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add InnoVint 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 InnoVint 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
InnoVint + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the InnoVint MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query InnoVint, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed InnoVint as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query InnoVint on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using InnoVint tools alongside other MCP servers
InnoVint MCP Tools for Mastra AI (10)
These 10 tools become available when you connect InnoVint to Mastra AI via MCP:
get_lot
The primary data point for any winemaking question. Get full lot details
get_vessel
Essential for barrel program management. Get vessel details
list_actions
Filter by lot to see complete cellar history. List cellar actions
list_additives
With regulatory limits and typical dosage. List additives
list_analyses
Filter by lot to see a specific wine's chemistry over time. List lab analyses
list_vessels
Shows capacity, current contents, fill level, and location. Critical for cellar management and space planning. List tanks and barrels
list_vintages
Navigate wine production by year. List vintages
list_wineries
Multi-winery operations can manage several facilities from one account. List wineries
list_wines
Each with varietal rules, appellation, and production notes. List wine products
search_lots
Returns lot details including volume, vessel assignment, varietal composition, and current status. Essential for tracking individual batches through the winemaking process — from harvest intake to bottling. Search wine lots
Example Prompts for InnoVint in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with InnoVint immediately.
"How is the 2025 Pinot Noir fermentation going?"
"Record a new lab reading for the 2025 Chardonnay: pH is 3.32 and TA is 6.5 g/L."
"Which vessels are currently empty and available for the upcoming harvest?"
Troubleshooting InnoVint MCP Server with Mastra AI
Common issues when connecting InnoVint to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpInnoVint + Mastra AI FAQ
Common questions about integrating InnoVint 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 InnoVint 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 InnoVint to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.