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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Highlight (Session Replay & UX) MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Highlight (Session Replay & UX) tools in your ADK agent.
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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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 Highlight (Session Replay & UX) MCP in Google ADK
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