How to Use the InnoVint MCP in Cursor

Q: How do I configure InnoVint with Cursor for my development team?

Create a .cursor/mcp.json file in your repository root. Add the server details there so every developer on your team uses the same production data.

Q: Can Cursor developers use InnoVint data to build custom reports?

Absolutely. By using listanalyses, your developers can pull chemical data directly into custom frontend components or internal dashboards.

Q: Will Cursor agent mode automatically see my InnoVint lot data?

Once you add the server to your config, the agent can call searchlots when you ask for specific batch information. It makes the data available in the chat context.

Write code that interacts with your InnoVint winery data. Cursor agent mode pulls live production metrics right into your editor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect InnoVint MCP to Cursor

Create your Vinkius account to connect InnoVint to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup InnoVint with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Agent-driven InnoVint data integration

Give your agent the power to query `list_wines` and `list_vintages` while you write your internal tools. It pulls the actual data structure into your editor context. You avoid working with fake stubs. The agent builds logic based on the real production state of your winery.

Contextual cellar management in Cursor

Use `list_actions` to feed your agent the history of any lot. It analyzes past cellar work to help you write scripts that automate your reporting. Your code gets better when it understands the physical actions taken on your wine. The agent uses `get_lot` to verify the state before running your commands.

Automate inventory checks via Cursor

Query `list_vessels` to get live fill levels and locations for your barrel program. You can write scripts that report on space utilization without manual data entry. This keeps your inventory logic in sync with the winery floor. The tools provide the exact JSON output you need to build reliable production tracking software.

Setup guide

Set up InnoVint MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the InnoVint MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent InnoVint transactions." If the MCP tools are loaded correctly, Cursor will call the InnoVint tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "innovint-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by InnoVint. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect InnoVint now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about InnoVint MCP in Cursor

Create a `.cursor/mcp.json` file in your repository root. Add the server details there so every developer on your team uses the same production data.

Absolutely. By using `list_analyses`, your developers can pull chemical data directly into custom frontend components or internal dashboards.

Once you add the server to your config, the agent can call `search_lots` when you ask for specific batch information. It makes the data available in the chat context.

It operates locally on your machine or via your secure token. No data is exposed to external third parties beyond your own authorized API connection.

It touches sensitive winemaking records, including chemical lab analyses and lot-specific production logs. Every request is authenticated to ensure only your team accesses these records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript