How to Use the LoadNinja (Real-Browser Load Testing) MCP in Google ADK

Q: Can my Google ADK agent select specific browsers for testing?

Yes, the agent calls listbrowsers to see what native browsers are configured. It then matches those options against your test requirements before triggering a run.

Q: How do I analyze LoadNinja (Real-Browser Load Testing) results using Google ADK and BigQuery?

The agent fetches raw performance metrics via gettestrunstats and passes them to your Google Cloud data pipeline. This allows you to combine load testing stats with your existing application telemetry.

Q: What happens if a scenario configuration changes?

Your agent calls getscenario to inspect the updated target URL and settings. This ensures the agent always understands the current state of your test suite before execution.

Control LoadNinja (Real-Browser Load Testing) from your Google ADK pipelines to analyze performance trends in BigQuery.

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Connect LoadNinja (Real-Browser Load Testing) MCP to Google ADK

Create your Vinkius account to connect LoadNinja (Real-Browser Load Testing) 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 LoadNinja (Real-Browser Load Testing) with Google ADK

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Run Enterprise Scale Tests via Google ADK

Your Gemini-powered agents can manage massive load tests directly. By calling `run_scenario`, the agent initiates real-browser tests across physical data centers. This lets you simulate actual user traffic patterns without manual clicking. The agent uses `list_locations` to pick the best physical data center for load injection. It ensures your tests run close to your target audience for accurate latency metrics.

Extract Raw Metrics for BigQuery Analysis

Feed raw performance data directly into your Google Cloud storage. The agent calls `get_test_run_stats` to pull detailed browser metrics after a run. You can then pipe this data straight into BigQuery for deep SQL analysis. Using `get_test_run`, the agent checks whether the test completed successfully. It extracts the raw execution logs, making it simple to spot regressions across different deployment versions.

Manage Active Test Runs and Limits

Keep a tight grip on your testing resources. This MCP Server allows your agent to call `get_account` to monitor active virtual user limits. It prevents expensive test runs from triggering if your account is near its monthly cap. If a test behaves unexpectedly, the agent halts it instantly using `stop_test_run`. This rapid response protects your infrastructure and your budget from runaway load tests.

Setup guide

Set up LoadNinja (Real-Browser Load Testing) 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 LoadNinja (Real-Browser Load Testing) 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="LoadNinja (Real-Browser Load Testing)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to LoadNinja (Real-Browser Load Testing) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about LoadNinja (Real-Browser Load Testing) MCP in Google ADK

Instantiate the MCP toolset with your HTTP server parameters and pass it directly to your LlmAgent. Your Gemini models can immediately call tools like `list_scenarios` to find your configured tests.

Yes, the agent calls `list_browsers` to see what native browsers are configured. It then matches those options against your test requirements before triggering a run.

The agent fetches raw performance metrics via `get_test_run_stats` and passes them to your Google Cloud data pipeline. This allows you to combine load testing stats with your existing application telemetry.

Your agent calls `get_scenario` to inspect the updated target URL and settings. This ensures the agent always understands the current state of your test suite before execution.

Vinkius handles all authentication details securely. This MCP Server runs in isolated, ephemeral environments, ensuring your account credentials, test runs, and concurrency metrics never leak into Google Cloud logs or public networks.

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