How to Use the Umami (Privacy Analytics) MCP in Claude Code

Q: How does Umami (Privacy Analytics) help Claude Code generate campaign reports?

You run the createattributionreport tool directly in your shell script. The output is a clean, machine-readable JSON object that can be immediately fed into another process for archiving or alerting.

Q: Can Claude Code manage multiple websites using the Umami (Privacy Analytics) MCP Server?

Yes. You use listwebsites to get all available site IDs, then loop through them in your script calling getwebsitemetrics for each one sequentially.

Run Umami (Privacy Analytics) analytics reporting in CI/CD pipelines using Claude Code.

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Connect Umami (Privacy Analytics) MCP to Claude Code

Create your Vinkius account to connect Umami (Privacy Analytics) to Claude Code 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 Claude Code

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Automated Reporting & Auditing

Set up scheduled jobs that run reports without a GUI. You can execute `create_funnel_report` or `get_website_stats` as part of a nightly cron job, piping the JSON output to storage. Run specialized audits using `create_revenue_report`. This is perfect for CI/CD pipelines where you need verifiable financial data passed through shell scripts.

System and User Provisioning

Use Claude Code to manage the underlying system state. You can run `admin_list_websites` to check all existing sites, or use `get_website_daterange` before running any data pull. For automation, you might need to execute `create_team` first. The server also allows token management via the `login` and `verify_token` commands for secure pipeline execution.

Event Tracking & Data Collection

Need to validate tracking setup? Run a test event using `send_event`. This simulates traffic for testing purposes. Alternatively, pull deep activity data by calling `get_session_activity` against the last known session ID. For monitoring health checks, checking `get_realtime_stats` provides immediate metrics within the last 30 minutes.

Setup guide

Set up Umami (Privacy Analytics) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see umami-privacy-analytics-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Umami (Privacy Analytics) transactions." It will automatically discover and invoke the available Umami (Privacy Analytics) tools.

Terminal

claude mcp add --transport http umami-privacy-analytics-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Umami (Privacy Analytics) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about Umami (Privacy Analytics) MCP in Claude Code

You run the `create_attribution_report` tool directly in your shell script. The output is a clean, machine-readable JSON object that can be immediately fed into another process for archiving or alerting.

Yes. You use `list_websites` to get all available site IDs, then loop through them in your script calling `get_website_metrics` for each one sequentially.

The server exposes structured analytics: session summaries (`get_website_sessions_stats`), event property counts (`get_website_event_data_fields`), and historical metrics for various dimensions like path or OS.

The server handles data via IDs and aggregated counts. By using `get_website_metrics`, you pull generalized trends, which keeps the process focused on operational metrics rather than individual user PII.

The core data touched are session identifiers and event property values. This includes tracking `website_event_data` which is essential for auditing marketing performance.

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