How to Use the Umami (Privacy Analytics) MCP in Windsurf
Get full visibility into user behavior and marketing performance using Windsurf.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Umami (Privacy Analytics) MCP to Windsurf
Create your Vinkius account to connect Umami (Privacy Analytics) to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Deep Dive Reporting
Generate comprehensive reports covering key business metrics. You can run a `create_attribution_report` to trace how users arrived at your site, or use `create_funnel_report` to map out conversion bottlenecks. Need to track long-term value? The server supports `create_retention_report` and detailed `create_revenue_report`, giving you a full picture of user lifetime value.
User & Team Administration
The Umami (Privacy Analytics) MCP Server handles team structure management. Need to onboard someone? Run `add_team_user` or `create_user`. For oversight, you can use `admin_list_users` and `get_team_users` to manage roles across different groups. It's useful for keeping track of which teams exist using `list_teams`, so your autonomous agent knows exactly where to assign resources.
Real-Time Traffic Monitoring
See what users are doing right now. The tool `get_website_active` pulls a list of active visitors in the last five minutes, perfect for immediate triage. Dig into specific visits using `get_session` to pull individual session details, or use `send_event` if your agent needs to simulate tracking data to test reporting logic.
Set up Umami (Privacy Analytics) MCP in Windsurf
Prerequisites
- Windsurf IDE installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open
~/.codeium/windsurf/mcp_config.json. - 2
Add the Umami (Privacy Analytics) MCP
Paste the JSON snippet shown on the right into the
mcpServersobject. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Refresh MCPs
Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
- 4
Verify in Cascade
Start a new Cascade conversation and ask something like "Show my Umami (Privacy Analytics) payment history." If connected, Cascade will call the Umami (Privacy Analytics) tools directly. You will see a green dot next to the server name in the MCP panel.
{
"mcpServers": {
"umami-privacy-analytics-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
} Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Umami. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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 Windsurf
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Umami (Privacy Analytics) MCP today
We host it, we monitor it, we maintain it. You just paste one token.