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

Q: How does Umami (Privacy Analytics) help Cline build marketing attribution features?

Cline can call createattributionreport. It returns a structured dataset detailing the source and path of traffic, which you can then use to power your front-end component's logic.

Q: Can Cline manage user accounts via Umami (Privacy Analytics) MCP Server?

Yes. The server exposes createuser and updateuser. Your agent can write the necessary functions to interact with these administrative endpoints directly in your project.

Q: Can Umami (Privacy Analytics) help Cline test data flow?

You can use the sendevent tool. This allows your agent to send controlled events, letting you verify that your newly coded tracking logic correctly ingests and processes the data.

Build analytics dashboards in VS Code using Umami (Privacy Analytics) with Cline.

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Connect Umami (Privacy Analytics) MCP to Cline

Create your Vinkius account to connect Umami (Privacy Analytics) to Cline 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 Cline

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Generate Detailed Reports

Need a complex dashboard component? Use the MCP Server tools to generate data points like `create_attribution_report`. Cline can write code that calls this API, then structures the resulting JSON into a React or Vue component. For deeper analysis, you'll hit up `get_website_event_data` and `create_retention_report`, letting your agent pull structured data directly into your codebase.

Manage Site Assets Programmatically

Cline can manage the underlying infrastructure. You'll use tools like `create_website` or `delete_website` to ensure a site exists before running tests. The server also allows you to programmatically create tracking assets via `create_pixel`. It’s perfect for setting up boilerplate code that manages user credentials using `get_user`.

Fetch Live Session Data

Don't just build dashboards; test them with real data. The tool `get_session` pulls individual visit details, which Cline can then use to populate mock API responses for local development. For broader context, fetching aggregated metrics using `get_website_metrics` provides the time-series data you need for charting components.

Setup guide

Set up Umami (Privacy Analytics) MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type umami-privacy-analytics-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Umami (Privacy Analytics) refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about Umami (Privacy Analytics) MCP in Cline

Cline can call `create_attribution_report`. It returns a structured dataset detailing the source and path of traffic, which you can then use to power your front-end component's logic.

Yes. The server exposes `create_user` and `update_user`. Your agent can write the necessary functions to interact with these administrative endpoints directly in your project.

The server manages event properties and user profiles. You'll find `website_event_data` which groups property/value counts, along with detailed session information from `get_website_sessions`.

You can use the `send_event` tool. This allows your agent to send controlled events, letting you verify that your newly coded tracking logic correctly ingests and processes the data.

The server is designed for API consumption. It provides event IDs and aggregated metrics, allowing your agent to build features based on patterns without needing direct access to sensitive, raw user identifiers.

Use it with your favorite AI tools

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

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