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

Q: How do I register the LoadNinja (Real-Browser Load Testing) MCP Server tools in AutoGen?

You'll use the mcpservertools adapter from the autogen-ext package to connect to the MCP Server. Pass the resulting list directly into your AssistantAgent constructor to give them access.

Q: Do AutoGen agents debate which browser to test on?

Yes, one agent calls listbrowsers to see what is available, then presents the options to the group to select the best environment for the current run.

Q: How do AutoGen agents handle run failures on LoadNinja (Real-Browser Load Testing)?

Your monitoring agent tracks the run using gettestrun. If it detects a failure, it alerts the other agents, who then decide whether to run a different scenario or stop the suite.

Q: What happens if an AutoGen agent triggers a runaway test?

Another agent steps in, reads the active runs with listtestruns, and calls stoptestrun to kill the runaway test immediately. This keeps your resource usage under control.

Let your AutoGen agents debate test configurations and coordinate real-browser load runs.

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Setup LoadNinja (Real-Browser Load Testing) with AutoGen

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Multi-agent consensus on test execution

The `run_scenario` tool lets your AutoGen agents initiate performance runs after reaching a group agreement. A performance agent pushes to execute a test, while a budget agent queries `get_account` to check remaining virtual user limits before allowing it. This debate prevents wasteful spending. Once they agree, the runner agent triggers the test and monitors it, keeping your pipeline safe from accidental, high-cost runs.

Collaborative troubleshooting of performance regressions

The `get_test_run_stats` tool provides the raw metrics that your agents analyze collectively. When a test completes, one agent pulls the stats while another compares the results with past configs pulled via `get_scenario`. They debate the root cause of any slowdown. If the error rate is too high, they decide to query `list_scenarios` to run targeted sub-tests or coordinate a rollback.

Autonomous run management via AutoGen and MCP Server

The `stop_test_run` tool gives your agents the power to terminate failing tests autonomously. If the monitoring agent calls `get_test_run` and notices response times spiking past acceptable thresholds, it flags the issue to the coordinator. The coordinator agent then immediately executes the stop command to kill the run. This quick action saves your virtual user minutes by avoiding long-running, failed tests.

Setup guide

Set up LoadNinja (Real-Browser Load Testing) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes LoadNinja (Real-Browser Load Testing) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="LoadNinja (Real-Browser Load Testing)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent LoadNinja (Real-Browser Load Testing) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="LoadNinja (Real-Browser Load Testing)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent LoadNinja (Real-Browser Load Testing) data")
    print(result.messages[-1].content)

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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 LoadNinja. 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 LoadNinja (Real-Browser Load Testing) MCP in AutoGen

You'll use the `mcp_server_tools` adapter from the `autogen-ext` package to connect to the MCP Server. Pass the resulting list directly into your `AssistantAgent` constructor to give them access.

Yes, one agent calls `list_browsers` to see what is available, then presents the options to the group to select the best environment for the current run.

Your monitoring agent tracks the run using `get_test_run`. If it detects a failure, it alerts the other agents, who then decide whether to run a different scenario or stop the suite.

Another agent steps in, reads the active runs with `list_test_runs`, and calls `stop_test_run` to kill the runaway test immediately. This keeps your resource usage under control.

Your raw API keys and concurrency limits are handled entirely at the platform level. Vinkius processes all tool calls through secure, ephemeral environments, meaning your keys are never exposed to the individual agents during their conversations.

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