4,500+ servers built on MCP Fusion
Vinkius
Umami (Privacy Analytics) logo
Vinkius
Claude Desktop logo

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

Connect Umami (Privacy Analytics) to Claude Desktop for local and cloud data access.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Umami (Privacy Analytics) MCP on Cursor AI Code Editor MCP Client Umami (Privacy Analytics) MCP on Claude Desktop App MCP Integration Umami (Privacy Analytics) MCP on OpenAI Agents SDK MCP Compatible Umami (Privacy Analytics) MCP on Visual Studio Code MCP Extension Client Umami (Privacy Analytics) MCP on GitHub Copilot AI Agent MCP Integration Umami (Privacy Analytics) MCP on Google Gemini AI MCP Integration Umami (Privacy Analytics) MCP on Lovable AI Development MCP Client Umami (Privacy Analytics) MCP on Mistral AI Agents MCP Compatible Umami (Privacy Analytics) MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Desktop

Connect Umami (Privacy Analytics) MCP to Claude Desktop

Create your Vinkius account to connect Umami (Privacy Analytics) to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Run Detailed Conversion Funnel Analysis

You can run `create_funnel_report` directly through your AI client. This generates a conversion funnel report showing where users drop off, based on real Umami event data. It's perfect for PMs who need live API data without opening a browser tab. Claude Desktop handles the connection to your local or remote Umami instance.

Audit User and Website Access (Admin)

Use `admin_list_users` and `admin_list_teams` when you need an admin view of the entire ecosystem. This gives visibility into who's using Umami and what teams exist, right inside your chat session. This capability lets you manage user permissions without leaving Claude Desktop. You can verify access controls before making manual changes.

Check Real-Time User Activity

Need to know what's happening right now? Running `get_realtime_stats` gives you metrics for activity within the last 30 minutes. You get immediate, actionable stats on site usage. This is huge for developers using Claude Desktop who need instant feedback during testing. It shows current user volume and engagement patterns.

Setup guide

Set up Umami (Privacy Analytics) MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Umami (Privacy Analytics) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

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

Claude Desktop lets the MCP Server run as a subprocess on your machine. This means it can process Umami analytics data against files or databases you have locally, giving deep context to your prompts.
When interacting with the MCP Server on Claude Desktop, it handles raw website event details and property/value counts from `get_website_event_data_fields`. This includes specific tracking parameters.
Yes. You can call `get_session` to get individual session details or use `get_website_event_data_events` for activity grouped by event name. It provides the timeline of user actions.
For local access, you add the server under `mcpServers` in your config file and restart. This allows the full suite of tools to run as subprocesses on your machine.
The MCP Server manages site-wide data ranges using `get_website_daterange`. This ensures all reports you pull through Claude Desktop are scoped to the correct time window.

Start using the Umami (Privacy Analytics) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 53 tools

We've already built the connector for Umami (Privacy Analytics). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 53 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.