How to Use the Contentsquare MCP in Google ADK

Q: Does Google ADK use Contentsquare for metrics?

Absolutely, the getmetrics tool retrieves bounce and engagement numbers. You can pipe these directly into your BigQuery workflows.

Q: How do Contentsquare and Google ADK handle logs?

The listexportjobs tool tracks your extraction state. It ensures your agent knows exactly when a log file is ready for processing.

Connect Contentsquare to Google ADK to analyze UX metrics and segment data within your Gemini-powered enterprise agent.

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Connect Contentsquare MCP to Google ADK

Create your Vinkius account to connect Contentsquare 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 Contentsquare with Google ADK

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Manage UX segments via Google ADK

Fetch demographic limits with `list_segments` and store them in JSON arrays. It helps your agent understand the user groups currently active on your site. `list_zonings` lets you inspect internal interaction arrays. You can mitigate specific click tracking constraints while your agent reasons over the data.

Pull site metrics into Google ADK

Run `get_page_metrics` to generate statistical bodies for specific URLs. It provides the exact data needed for long-context reasoning in your Gemini models. This creates a direct pipeline from your site logs to your agent's reasoning engine. You get precise engagement stats without leaving the Google ADK environment.

Configure Contentsquare projects in Google ADK

Map out your tracking domains by calling `list_projects`. It establishes the boundaries for your agent's data extraction tasks. Use this to scope your agent's reach across your site. It keeps the context window clean by focusing only on relevant domain metrics.

Setup guide

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

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

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Common questions about Contentsquare MCP in Google ADK

Use the McpToolset class to mount the server and pass it to your LlmAgent. The tools will then execute against your Contentsquare project data.

Absolutely, the `get_metrics` tool retrieves bounce and engagement numbers. You can pipe these directly into your BigQuery workflows.

The `list_export_jobs` tool tracks your extraction state. It ensures your agent knows exactly when a log file is ready for processing.

Vinkius manages all auth via endpoint tokens. Your agent receives data through a restricted, ephemeral sandbox that isolates your Contentsquare credentials.

This server handles JSON session payloads and interaction logs. Every request is isolated, ensuring your demographic segments and click arrays remain inaccessible to external actors.

Use it with your favorite AI tools

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

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