How to Use the GrowingIO MCP in Cursor

Q: How do I configure Cursor to use the GrowingIO MCP Server?

Create an mcp.json file in your project's .cursor directory and define the MCP Server. Once saved, the editor's Agent mode can immediately run tools like listevents to inspect your tracking setup.

Q: Can Cursor write tracking code using my actual GrowingIO variables?

Yes, the agent calls listvariables to fetch your exact tracking schema. It then generates code that uses your actual custom variables, preventing integration bugs.

Q: Can I query advertising campaigns from my editor?

Yes, the listads tool allows the agent to fetch your active marketing campaigns. You can use this data to quickly build internal admin tools or debug attribution code.

Generate functional product analytics code in Cursor using live GrowingIO event schemas and segment data.

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Connect GrowingIO MCP to Cursor

Create your Vinkius account to connect GrowingIO 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.

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Setup GrowingIO with Cursor

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Generate Code with GrowingIO MCP Server

The `list_variables` and `get_project_info` tools let your Cursor agent pull live event schemas directly into your active codebase. Instead of writing code against outdated documentation, the editor reads your actual tracking setup. Your agent instantly writes accurate telemetry code that matches your production environment. You avoid typing errors because the editor verifies your custom variables against the live API before writing a single line.

Debug Tracking Implementations in Agent Mode

This MCP Server exposes `list_log_sources` and `get_event` tools to help you verify that your analytics installation works correctly. When a tracking call fails, the agent checks the log sources to locate the broken pipeline. You don't have to switch back and forth between your code and the analytics dashboard. Cursor reads the live error logs, compares them with your local implementation, and suggests the exact fix.

Build Dashboards Using Real Analytics Data

Fetching actual conversion data becomes a single prompt when Cursor has access to `get_funnel` and `get_metrics`. The agent uses these tools to pull live JSON payloads directly into your frontend components. You can build and style your analytics dashboard using real customer data instead of mock stubs. This ensures your charts and tables render correctly under actual production loads.

Setup guide

Set up GrowingIO 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 GrowingIO 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 GrowingIO transactions." If the MCP tools are loaded correctly, Cursor will call the GrowingIO tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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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 GrowingIO. 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 GrowingIO MCP in Cursor

Create an `mcp.json` file in your project's `.cursor` directory and define the MCP Server. Once saved, the editor's Agent mode can immediately run tools like `list_events` to inspect your tracking setup.

Yes, the agent calls `list_variables` to fetch your exact tracking schema. It then generates code that uses your actual custom variables, preventing integration bugs.

Yes, Composer mode can orchestrate multi-file changes using live data from `get_project_info`. This lets you update your entire analytics initialization block across multiple components simultaneously.

Yes, the `list_ads` tool allows the agent to fetch your active marketing campaigns. You can use this data to quickly build internal admin tools or debug attribution code.

Your credentials remain safe because the MCP tool calls execute locally. Cursor processes the raw metrics and funnel data on your local machine, ensuring your proprietary business data is never cached or used for training external models.

Use it with your favorite AI tools

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

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