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How to Use the Highlight (Session Replay & UX) MCP in Google ADK

Connect Google ADK agents to Highlight (Session Replay & UX) for deep observability into enterprise workflows.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Highlight (Session Replay & UX) MCP to Google ADK

Create your Vinkius account to connect Highlight (Session Replay & UX) 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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OTLP log streaming for Google ADK

Push your logs from Gemini-powered agents into Highlight using `ingest_otlp_logs`. It integrates with your cloud-native stack. This is for when your agents handle high-volume traffic. You get the logs you need without the overhead of custom instrumentation.

Monitor complex agent reasoning

Use `ingest_otlp_traces` to visualize how your Google ADK agent processes long-context prompts. Every step of the reasoning chain is captured. It gives you a clear look at where your agent might be getting stuck. You can see the full trace alongside your session replay data.

Handle raw logs from legacy systems

When your agent interacts with older infrastructure, use `ingest_raw_log` to capture the output. It acts as a bridge for non-standard message formats. Just pass the raw string to the tool. It's the fastest way to get visibility when OTLP isn't an option.

Setup guide

Set up Highlight (Session Replay & UX) 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Highlight (Session Replay & UX) 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="Highlight (Session Replay & UX)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Highlight (Session Replay & UX) tools via MCP.",
    tools=mcp_tools,
)

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

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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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 Highlight (Session Replay & UX) MCP in Google ADK

Use the McpToolset class to point your agent at the Vinkius server URL. It maps the tools to your Gemini agent, enabling immediate log and trace ingestion.
The server captures the observability data resulting from your agent's actions on BigQuery. You get to see the session replay alongside the telemetry.
Yes. You can use the tool_names filter in your McpToolset config to restrict your agent to only the specific ingestion tools you want it to use.
It does. You can run the server locally or via HTTP, and the ADK handles the connection to ensure your agent can talk to the tools reliably.
The server uses standard transport security to forward your logs and traces. It only handles the telemetry you send to the ingest endpoints.

Start using the Highlight (Session Replay & UX) MCP today

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Built & Managed by Vinkius 30s setup 3 tools

We've already built the connector for Highlight (Session Replay & UX). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 3 tools are live and waiting. You're up and running in seconds.

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