How to Use the Umami (Privacy Analytics) MCP in Google ADK

Q: Can I manage users and teams using Umami (Privacy Analytics) with the Google ADK?

Yes. The agent has admin tools like createuser and jointeam. You can use these to set up team access or grant permissions before running any analytics reports, all managed through one MCP Server.

Q: What data privacy protections does Umami (Privacy Analytics) offer when using the Google ADK?

When using the Google ADK, the server touches session details. The agent processes this information to generate aggregate metrics. Since you're working in a controlled cloud environment, your focus remains on large-scale analytics.

Q: How reliable are the metrics provided by Umami (Privacy Analytics) using the Google ADK?

The agent uses verified tools like getwebsiteeventdata to gather statistics. Because of its native integration with Google Cloud, you get high reliability and context for your analytical findings.

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Connect Umami (Privacy Analytics) MCP to Google ADK

Create your Vinkius account to connect Umami (Privacy Analytics) to Google ADK 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 Google ADK

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Deep Event Tracking and Retrieval

Need to know what happened on a page? You can get all event data grouped by name using `get_website_event_data`. It also pulls specific field counts with `get_website_event_data_fields`. This gives your agent granular visibility into user actions, perfect for BigQuery ingestion.

Comprehensive Reporting Automation

Stop stitching reports together manually. The Umami (Privacy Analytics) MCP Server handles core reporting functions like generating a full conversion funnel with `create_funnel_report` or calculating revenue over time via `create_revenue_report`. Your agent can run these tasks on demand and feed them into Vertex AI.

Historical Website Metrics Access

Want to see trends? Use `get_website_metrics` for a given path, browser, or OS over time. You can also pull session details with `get_website_sessions`. This structured data is ideal for long-context reasoning within the Google ADK framework.

Setup guide

Set up Umami (Privacy Analytics) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Umami (Privacy Analytics) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Umami (Privacy Analytics)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Umami (Privacy Analytics) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Umami (Privacy Analytics) MCP in Google ADK

The Google ADK allows your agent to run analytics queries against Umami's data. You can use tools like `get_website_stats` and then pipe that structured output directly into a BigQuery table for advanced analysis.

Yes. The agent has admin tools like `create_user` and `join_team`. You can use these to set up team access or grant permissions before running any analytics reports, all managed through one MCP Server.

When using the Google ADK, the server touches `session details`. The agent processes this information to generate aggregate metrics. Since you're working in a controlled cloud environment, your focus remains on large-scale analytics.

You can manage site infrastructure directly through the agent. Tools like `create_website` and `update_website` let you provision or modify sites, ensuring that all associated data remains consistent across your cloud environment.

The agent uses verified tools like `get_website_event_data` to gather statistics. Because of its native integration with Google Cloud, you get high reliability and context for your analytical findings.

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