Umami FAQs

Question 1

What is Umami MCP Server?

Accepted Answer

Umami MCP Server exposes read-only Umami Analytics data and prompt templates through the Model Context Protocol (MCP), enabling seamless integration with various AI coding tools for enhanced data access and reporting.

Question 2

Which AI coding tools does Umami MCP Server integrate with?

Accepted Answer

It integrates directly with popular AI coding environments such as Claude Code/Desktop, Cursor, and VS Code (Copilot), allowing you to pull Umami Analytics data and run reports within your development workflow.

Question 3

What kind of data and reports can I get from Umami Analytics using this tool?

Accepted Answer

You can access 11 read-only data tools covering comprehensive metrics like pageviews, visitors, bounce rates, referrer details, device/OS breakdowns, real-time active users, and event series. It also provides 4 prompt templates for quick analytics reports like top pages or visitor insights.

Question 4

Is installation required to use Umami MCP Server?

Accepted Answer

No, a key benefit is that it can run directly with `npx` without any prior installation. You also have the option to install it globally via `npm` if preferred.

Question 5

Does it support both Umami Cloud and self-hosted Umami instances?

Accepted Answer

Yes, Umami MCP Server is versatile and supports both Umami Cloud instances (using an API Key) and self-hosted Umami instances (requiring a URL, username, and password for authentication).

Umami

Umami

Características Principales

Casos de Uso

Características Principales

Casos de Uso