How to Use the Matomo Alternative MCP in Google ADK

Q: How do I integrate the Matomo Alternative MCP server with a Google ADK agent?

You instantiate an McpToolset with the server URL and pass it to your LlmAgent. The ADK handles tool discovery, so your Gemini agent can immediately start using tools like getprocessedreport.

Q: Is it possible to filter which Matomo Alternative tools my Google ADK agent can see?

Yes. When you set up the McpToolset in the Google ADK, you can pass a toolnames filter. This lets you expose only specific tools, like trackaction, to an agent that only needs to perform a narrow function.

Q: Can I get reports from my WordPress site's Matomo install using a Google ADK agent?

You can. The getwpprocessedreport tool is included for this exact purpose. Your agent can call it to fetch analytics directly from your WordPress-integrated Matomo instance.

Connect Gemini to your Matomo analytics. Let your agent act on your data with the Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Matomo Alternative MCP to Google ADK

Create your Vinkius account to connect Matomo Alternative 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.

GDPR Free for Subscribers

Setup Matomo Alternative with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Feed Matomo Data into BigQuery Pipelines

Your Gemini agent can now be the bridge between your website's live analytics and your Google Cloud data warehouse. Use `get_processed_report` to pull detailed analytics, then have the agent structure that data for ingestion into a BigQuery table. This closes the loop on your data strategy. Instead of manual CSV exports, your agent automates the process. With Gemini's long context, it can handle massive reports, identify trends, and trigger a Cloud Function to kick off a complex data processing job.

Real-Time Tracking for Enterprise Agents

Give your agent the ability to record user activity in real time. The `track_action` tool lets it log key events as they happen. For high-traffic situations, the agent can use `track_bulk` to batch events and send them in a single, efficient request. Because the Google ADK is built for enterprise scale, you can build agents that manage tracking across multiple properties. The agent can use `get_report_metadata` to discover available reports for different site IDs and dynamically adjust its tracking strategy based on the context.

Build Dashboards with this MCP Server

Let your agent build visual reports for your team. It can call `get_visits_summary` for high-level metrics and then use `get_image_graph` to create PNG charts for things like visits over time or top pages. These aren't just static images. A Gemini agent can analyze the data, generate the chart, and then write a summary of what the chart means. It's a powerful way to automate daily, weekly, or monthly reporting directly from your Google Cloud environment.

Setup guide

Set up Matomo Alternative 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 Matomo Alternative 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="Matomo Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Matomo Alternative tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Matomo. 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.

Connect Matomo Alternative now

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 Matomo Alternative MCP in Google ADK

You instantiate an `McpToolset` with the server URL and pass it to your `LlmAgent`. The ADK handles tool discovery, so your Gemini agent can immediately start using tools like `get_processed_report`.

Absolutely. That's a core strength of using the Google ADK. Your agent can pull a report using `get_visits_summary` from this MCP server, then query a BigQuery table to enrich that data for a more complete picture.

Yes. When you set up the `McpToolset` in the Google ADK, you can pass a `tool_names` filter. This lets you expose only specific tools, like `track_action`, to an agent that only needs to perform a narrow function.

You can. The `get_wp_processed_report` tool is included for this exact purpose. Your agent can call it to fetch analytics directly from your WordPress-integrated Matomo instance.

This server acts as a secure proxy and does not log your data. All analytics data, including visitor tracking events and report metrics, is transmitted through an ephemeral Vinkius sandbox directly to your Matomo instance. Your information isn't persisted on our end.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript