How to Use the Umami (Privacy Analytics) MCP in Cursor

Q: Can Umami (Privacy Analytics) help calculate attribution data within Cursor?

Absolutely. Calling createattributionreport gives you the necessary metrics to build complex logic into your application, showing exactly which sources drove revenue.

Q: What kind of user management data does Umami (Privacy Analytics) handle in Cursor?

The tool handles admin tasks like addteamuser and deleteuser. You can write code that executes these actions, managing team membership programmatically.

Q: What specific data does Umami (Privacy Analytics) manage regarding website metrics?

The server manages both path-based (getwebsitemetrics) and session details through getwebsitesessions, letting you write code that responds to different types of traffic patterns.

Inject Umami (Privacy Analytics) live metrics into your code with Cursor's Agent Mode.

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Connect Umami (Privacy Analytics) MCP to Cursor

Create your Vinkius account to connect Umami (Privacy Analytics) 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 Umami (Privacy Analytics) with Cursor

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Generate Code Based on Revenue Data

Need to write a script that accounts for conversion rates? Use `create_revenue_report` and inject the live numbers directly into your code. The agent generates working functions using real Umami API responses. This cuts out manual data fetching entirely. You're writing code in context, not pasting stub data.

Model User Retention Logic

You can call `create_retention_report` and have the AI agent use those statistics to structure your codebase. This is ideal for building user management tools or subscription logic. The power here is that the generated code uses actual Umami metrics, making it production-ready.

Identify Targeted Website Links

Use `create_link` to generate specific marketing links and have the AI insert them into your application's templates. The tool handles creating necessary tracking pixels (`create_pixel`) as well. This capability helps developers ensure that any link they write is properly tracked by Umami.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "umami-privacy-analytics-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 Umami. 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 Umami (Privacy Analytics) MCP in Cursor

In Agent mode, the AI calls MCP tools and injects live data directly into the code you are writing. This means your API responses from Umami power the actual syntax of your project.

The server provides detailed website event names and counts via `get_website_event_data_events`. You can write code that specifically checks against these tracked event types.

Absolutely. Calling `create_attribution_report` gives you the necessary metrics to build complex logic into your application, showing exactly which sources drove revenue.

The tool handles admin tasks like `add_team_user` and `delete_user`. You can write code that executes these actions, managing team membership programmatically.

The server manages both path-based (`get_website_metrics`) and session details through `get_website_sessions`, letting you write code that responds to different types of traffic patterns.

Use it with your favorite AI tools

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

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