How to Use the Pirsch Analytics MCP in Google ADK

Q: Does Pirsch Analytics support Google ADK tool filtering?

Yes. You can use the toolnames filter to limit exactly which statistics or tracking tools your agent can call.

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Connect Pirsch Analytics MCP to Google ADK

Create your Vinkius account to connect Pirsch Analytics to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Pirsch Analytics with Google ADK

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Native Google ADK data ingestion

Feed your visitor insights into your Gemini-powered workflows. Tools like `get_statistics_visitor` and `get_statistics_referrer` provide raw data for your long-context reasoning tasks. Your agents can now analyze traffic patterns without needing external dashboards. It turns your analytics into a first-class citizen within your Google Cloud stack.

Direct event reporting for Google ADK

Push interaction data to your analytics backend using `send_event`. Your agent can batch these updates with `send_event_batch` to save on overhead. This keeps your event tracking tight and efficient. You aren't just logging data; you're building a feedback loop for your autonomous agents.

Manage domains via Google ADK

Automate the lifecycle of your tracked domains. Using `create_domain`, your agent can spin up new analytics environments as you deploy new projects. It’s a simple way to keep your tracking infrastructure in sync with your cloud environment. Use `list_domains` to verify your active configurations anytime.

Setup guide

Set up Pirsch 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 Pirsch 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="Pirsch Analytics_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Pirsch Analytics tools via MCP.",
    tools=mcp_tools,
)

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