Umami Cloud Connector for AI agents.
2 live capabilities
Get real-time web analytics and user behavior data for your site.
Waiting for input…
Why people use Umami Cloud
Stop digging through Umami Cloud dashboards for basic stats
With this Connector, you just ask. Your agent handles the data fetching and summarizes the numbers for you. You get the answers you need in seconds, not minutes of clicking.
What Vinkius changes
Your agent gets a direct line to your privacy-first web analytics.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Debugging a conversion drop
A marketing lead sees a drop in conversions and asks their agent to check the websites capability for browser distribution to see if a specific browser is breaking the checkout.
- Real-world use case 02
Monitoring a feature launch
A product manager asks their agent to monitor users during the first hour of a launch to see if the traffic spike matches the marketing blast.
- Real-world use case 03
Identifying mobile bugs
A developer asks their agent to pull the top URLs from websites to see which pages are being hit most by mobile users to prioritize fixes.
Complete set · 2capabilities
The complete Umami Cloud capability set.
These are the exact actions your AI can choose when you ask it to work with Umami Cloud.
01—02
2 capabilities in this set.
Part of 2 available through Umami Cloud.
- 01 Capability
Websites
Fetch specific metrics like URLs, browsers, and devices. This helps you understand the technical profile of your visitors.
- 02 Capability
Users
Get the current number of active users on your site. Use this to see real-time traffic spikes or lulls.
Set up in minutes
One URL. Then ask Umami Cloud to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Umami Cloud from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_9EXTuMmdOrkYmdFdEgqrlxY9Eb8e04EFBbQtnTHF/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Umami Cloud, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Umami Cloud for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_9EXTuMmdOrkYmdFdEgqrlxY9Eb8e04EFBbQtnTHF/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Umami Cloud URL.
- Step 03
Save and start
Save the connection and enable Umami Cloud in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"umami-cloud": {
"url": "https://edge.vinkius.com/vk_preview_9EXTuMmdOrkYmdFdEgqrlxY9Eb8e04EFBbQtnTHF/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Umami Cloud
Open Agent mode in chat and ask: "Using Umami Cloud, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"umami-cloud": {
"url": "https://edge.vinkius.com/vk_preview_9EXTuMmdOrkYmdFdEgqrlxY9Eb8e04EFBbQtnTHF/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Umami Cloud
Ask Copilot: "Using Umami Cloud, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"umami-cloud": {
"url": "https://edge.vinkius.com/vk_preview_9EXTuMmdOrkYmdFdEgqrlxY9Eb8e04EFBbQtnTHF/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Umami Cloud
Open Cascade and ask: "Using Umami Cloud, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"umami-cloud": {
"url": "https://edge.vinkius.com/vk_preview_9EXTuMmdOrkYmdFdEgqrlxY9Eb8e04EFBbQtnTHF/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Umami Cloud
Ask Cline: "Using Umami Cloud, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add umami-cloud --transport http "https://edge.vinkius.com/vk_preview_9EXTuMmdOrkYmdFdEgqrlxY9Eb8e04EFBbQtnTHF/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Umami Cloud
Ask Claude: "Using Umami Cloud, show me...". 2 tools are ready
Where the request belongs
Work Umami Cloud can move forward.
Product managers who need to justify feature changes with data, or marketing leads who want to see if a campaign actually drove traffic without the bloat of big-tech tracking.
Marketing Analyst
Checks campaign performance on specific landing pages to see if the creative is actually converting.
Product Manager
Monitors active user spikes during a new feature launch to ensure the rollout is hitting the target audience.
Web Developer
Identifies browser-specific bugs by looking at traffic distribution and device types.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsUmami (Privacy Analytics)
Manage your Umami analytics. track events, manage websites, and oversee users directly through your AI agent.
Fathom
Privacy-first website analytics. track visitors, monitor real-time traffic, and manage sites and events directly from your AI agent.
GoatCounter
Privacy-friendly web analytics. track pageviews, analyze visitor stats, and manage your sites directly through any AI agent.
Simple Analytics
Privacy-first web analytics without cookies. Fetch aggregated stats, export raw data, and manage your websites directly from your AI agent.
Matomo
Open-source web analytics via Matomo. track visits, goals, and user behavior directly from any AI agent.
Pirsch Analytics
Privacy-friendly web analytics. track hits, events, and retrieve detailed statistics for your domains directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Umami Cloud connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Umami Cloud.
The practical details behind the request, access and result.
Can I use Umami Cloud MCP to see real-time traffic?
Yes, you can ask your agent to check the current active user count to see how many people are on your site at this exact moment.
Does Umami Cloud MCP support mobile analytics?
It does. Your agent can pull data on device types so you can see how many of your visitors are on phones vs. desktops.
Is my data private with Umami Cloud MCP?
Yes, it connects to Umami, which is a privacy-focused analytics platform. Your agent only sees the data you allow it to access.
Can I ask my agent to compare pageviews?
You can ask your agent to pull metrics for specific URLs to see which pages are getting the most attention from your audience.
Do I need to be a developer to use Umami Cloud MCP?
No, you just need your Umami Cloud API key. Once it's connected, you can talk to your data in plain English.
Can the Umami Cloud MCP see specific user names?
No, it only provides aggregate metrics like user counts and device types to protect your users' privacy.
What data can AI generate from Umami Cloud?
AI can query active users individually, metrics by website, page view breakdowns, browser/OS statistics, and custom triggered events.
How does the Connector authenticate with Umami Cloud?
The integration uses an API access token. Provide your Umami Cloud token manually or pass username and password.
How does the MCP authenticate with Umami Cloud?
The integration uses an API access token. Provide your Umami Cloud token manually or pass username and password.
One connection away
Give your agent a direct line to Umami Cloud.
Connect Umami Cloud once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available