How to Use the Microsoft Clarity MCP in Google ADK

Q: How do I configure Microsoft Clarity tools within Google ADK using MCP?

Instantiate the McpToolset with the server URL and pass it to your LlmAgent. Your Google ADK agent instantly gains access to tools like getdashboard.

Q: Can Gemini analyze heatmaps using this Microsoft Clarity and Google ADK integration?

Yes. Your Google ADK agent calls listheatmaps to find available layout data, then pulls the specific element coordinates using getheatmap.

Q: Can the agent check if the analytics API is down?

Yes. The agent runs checkclaritystatus to verify connection health before trying to pull session or click data.

Feed live behavioral data to your Google ADK agents to optimize web layouts with long-context Gemini models.

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Connect Microsoft Clarity MCP to Google ADK

Create your Vinkius account to connect Microsoft Clarity 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 Microsoft Clarity with Google ADK

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Feed User Friction Directly to Google ADK Agents

The `list_dead_clicks` tool feeds raw behavioral signals directly into your Gemini-powered enterprise pipelines. Your agent calls this endpoint to find elements that look clickable but do absolutely nothing. By combining these click events with BigQuery data, your agent isolates functional layout flaws. It uses `get_project` to verify the workspace context before running deep behavioral analysis.

Analyze Visual Friction via MCP Server

The `get_heatmap` tool pulls element interaction densities directly into Gemini's long-context window. The agent processes thousands of layout coordinates at once to find dead zones on your landing pages. It maps these visual patterns against `get_scroll_depth` to see where users lose interest. This lets your agent recommend precise UI tweaks based on actual visual attention.

Audit User Session Recordings Automatically

The `list_recordings` tool pulls lists of actual user paths that ended in rapid exits. It then calls `get_recording` to pull the precise events of those specific sessions. This diagnostic flow uses `list_top_pages` to focus only on your highest-value conversion funnels. The agent flags the exact steps where users stumbled, saving hours of manual video reviews.

Setup guide

Set up Microsoft Clarity 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 Microsoft Clarity 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="Microsoft Clarity_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Microsoft Clarity 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 Microsoft Clarity. 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 Microsoft Clarity MCP in Google ADK

Instantiate the `McpToolset` with the server URL and pass it to your `LlmAgent`. Your Google ADK agent instantly gains access to tools like `get_dashboard`.

Yes. Your Google ADK agent calls `list_heatmaps` to find available layout data, then pulls the specific element coordinates using `get_heatmap`.

Use the optional tool name filter during toolset initialization. You can restrict the agent to read-only tools like `get_live_insights` and block administrative actions.

Yes. The agent runs `check_clarity_status` to verify connection health before trying to pull session or click data.

The server only transmits anonymized click positions, scroll depths, and page URLs. No personally identifiable information or raw keystroke logs are sent to your LLM or stored in BigQuery.

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