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

Q: How does Umami (Privacy Analytics) work with VS Code Copilot's team configuration?

By committing mcp.json to the repo, every developer automatically gets access to the full suite of tools. This ensures everyone on the engineering team uses a unified source for Umami data.

Q: Can Umami (Privacy Analytics) help track revenue data across teams in VS Code Copilot?

Yes. You run createrevenuereport and the results become available to all team members via the shared configuration. This keeps financial metrics consistent across development.

Q: What specific data does Umami (Privacy Analytics) manage regarding user sessions?

The server provides detailed session summaries via getwebsitesessionsstats, giving metrics like visitor counts and total duration. This allows developers to write code that handles diverse traffic volumes.

Manage Umami (Privacy Analytics) metrics across your team using VS Code Copilot's Agent Mode.

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Connect Umami (Privacy Analytics) MCP to VS Code Copilot

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

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Generate Team-Wide Performance Reports

Need to see how different sites are performing? You can call `get_website_stats` and the data gets committed via `.vscode/mcp.json`. Every developer on the team sees consistent, up-to-date metrics. This ensures that everyone uses the same Umami reporting structure when writing code or analyzing results.

Manage Team Users and Permissions

Use `get_team_users` to pull a list of all team members and integrate that data into your onboarding scripts. The entire engineering team can manage access using the MCP Server. This capability is great for maintaining SOC 2 compliance by centralizing user management logic.

Check Website Event Data Granularity

Want to know exactly what events happened? Calling `get_website_event_data` provides event data grouped by specific categories. This structured access helps developers write targeted data validation checks. It gives you the property and value counts needed for detailed bug reproduction or feature implementation.

Setup guide

Set up Umami (Privacy Analytics) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Umami (Privacy Analytics) MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Umami (Privacy Analytics) tools listed. Try asking: "List my recent Umami (Privacy Analytics) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "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 VS Code Copilot

By committing `mcp.json` to the repo, every developer automatically gets access to the full suite of tools. This ensures everyone on the engineering team uses a unified source for Umami data.

The MCP Server touches website event details, session identifiers, and user IDs. This includes property/value pairs from the analytics logs that your code can consume.

Yes. You run `create_revenue_report` and the results become available to all team members via the shared configuration. This keeps financial metrics consistent across development.

You can programmatically handle website creation and updates using `create_website` or `update_website`. This is useful for CI/CD pipelines that need to provision tracking sites.

The server provides detailed session summaries via `get_website_sessions_stats`, giving metrics like visitor counts and total duration. This allows developers to write code that handles diverse traffic volumes.

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