How to Use the Grafana k6 Cloud (Load Testing) MCP in AutoGen

Enable multi-agent performance debates with the Grafana k6 Cloud (Load Testing) MCP Server for AutoGen.

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Connect Grafana k6 Cloud (Load Testing) MCP to AutoGen

Create your Vinkius account to connect Grafana k6 Cloud (Load Testing) to AutoGen 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 Grafana k6 Cloud (Load Testing) with AutoGen

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Debate load test results in AutoGen

Have your performance agent call `get_run_metrics` while a security agent reviews the data. The agents discuss the findings, ensuring no performance regression slips through the cracks. This consensus-based approach prevents rushed deployments. It forces agents to reconcile different perspectives on whether a system passes the load test.

Coordinate test runs via AutoGen

Use `start_test_run` and `stop_test_run` to let your agents manage the testing lifecycle. One agent initiates the test, and another monitors the status using `list_runs`. They coordinate automatically, stopping the test if the metrics look bad. This removes the need for you to manually watch the dashboard.

Organize testing debates with the Grafana k6 Cloud (Load Testing) MCP Server

Agents can use `list_organizations` and `list_projects` to decide which project to test. They verify the scope before triggering any code, preventing accidental runs on production. This ensures that your multi-agent system stays within the intended boundaries. It adds a layer of intelligence to your automated testing operations.

Setup guide

Set up Grafana k6 Cloud (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 Grafana k6 Cloud (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="Grafana k6 Cloud (Load Testing)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Grafana k6 Cloud (Load Testing) data")
print(result.messages[-1].content)

Get your connection token →

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="Grafana k6 Cloud (Load Testing)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Grafana k6 Cloud (Load Testing) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Grafana k6 Cloud. 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 Grafana k6 Cloud (Load Testing) MCP in AutoGen

Install the MCP extension for AutoGen and pass your server details into the tool adapter. The adapter handles schema conversion, allowing your agents to start debating test results immediately.

Yes. Because agents can call tools independently, one can request data via `get_run_metrics` while another checks the status of current runs using `list_runs`.

It does. The tools are designed for programmatic access, making them ideal for systems where agents need to challenge each other's findings based on real-time performance data.

You can include an agent that manages your testing budget. By checking `list_runs` and `get_run` details, it can decide whether to block a new `start_test_run` call.

Your performance audit logs and test configurations are handled within a zero-trust, ephemeral sandbox. No data is stored between sessions, ensuring that your agent-driven workflows remain strictly confidential.

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