Integrate InnoVint with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet lot on InnoVint
The primary data point for any winemaking question. Get full lot details
Get vessel on InnoVint
Essential for barrel program management. Get vessel details
List actions on InnoVint
Filter by lot to see complete cellar history. List cellar actions
List additives on InnoVint
With regulatory limits and typical dosage. List additives
List analyses on InnoVint
Filter by lot to see a specific wine's chemistry over time. List lab analyses
List vessels on InnoVint
Shows capacity, current contents, fill level, and location. Critical for cellar management and space planning. List tanks and barrels
List vintages on InnoVint
Navigate wine production by year. List vintages
List wineries on InnoVint
Multi-winery operations can manage several facilities from one account. List wineries
List wines on InnoVint
Each with varietal rules, appellation, and production notes. List wine products
Search lots on InnoVint
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
Security & Code Integrity Audit
Every tool in the InnoVint MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can I record lab analysis results using this integration?
Yes, you can input new lab readings such as pH, TA, Brix, and free SO2 directly for a specific lot or vessel using natural language, and the AI will post them to the InnoVint API.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Triggering InnoVint via Natural Language
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the InnoVint MCP server to manage operations across the following domains.
Autonomous winery production via AI
The InnoVint toolkit provides secure access to winery production functions. It enables conversational agents to manage erp operations settings deterministically.
Claude Code Integration for lot tracking
The InnoVint toolkit provides secure access to lot tracking functions. It enables conversational agents to manage erp operations settings deterministically.
InnoVint. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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