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

Q: Can a CrewAI agent stop an active test run?

Yes. Any agent with access to the tools can execute stoptestrun using the active run ID to terminate a failing test immediately.

Q: Can my monitoring agent in CrewAI check live metrics from Grafana k6 Cloud (Load Testing)?

Yes. Your monitoring agent can call getrunmetrics through the MCP to fetch real-time numbers like active virtual users and error rates.

Q: How does CrewAI handle multiple load tests at once?

Your agents can run any of the 10 tools. This includes listprojects to find your target project, and starttestrun to execute tests using this MCP Server.

Run autonomous load testing and performance monitoring crews with CrewAI.

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Connect Grafana k6 Cloud (Load Testing) MCP to CrewAI

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

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Run cooperative performance tests using CrewAI

`start_test_run` triggers a k6 Cloud load test run from your Python script. Your QA agent can invoke this tool, while a separate SRE agent monitors the execution in parallel. If performance degrades, the monitoring agent calls `stop_test_run` to kill the test before it damages staging environments. This division of labor keeps your testing safe and completely automated.

Audit service level objectives via this MCP Server

`get_run_thresholds` retrieves the pass or fail status of your k6 performance budgets. A dedicated audit agent inspects these results to determine if the latest build meets your release criteria. The audit agent then shares these findings with a release coordinator agent. By checking metrics like error rates and response times, your crew makes informed deployment decisions without human intervention.

Analyze historical testing trends autonomously

`list_runs` fetches the history of load tests for a specific script, including duration and status. Your analyst agent uses this tool to identify recurring performance bottlenecks over time. To get deep details on a specific failure, the agent calls `get_run` to inspect raw configuration settings. Your crew handles the entire investigation, presenting you with a clear summary of what went wrong.

Setup guide

Set up Grafana k6 Cloud (Load Testing) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Grafana k6 Cloud (Load Testing) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Grafana k6 Cloud (Load Testing) Analyst",
    goal="Access and analyze Grafana k6 Cloud (Load Testing) data via MCP.",
    backstory="Expert analyst with direct Grafana k6 Cloud (Load Testing) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Grafana k6 Cloud (Load Testing) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Grafana k6 Cloud (Load Testing) Analyst",
        goal="Access and analyze Grafana k6 Cloud (Load Testing) data via MCP.",
        backstory="Expert analyst with direct Grafana k6 Cloud (Load Testing) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Grafana k6 Cloud (Load Testing) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Pass the Vinkius URL directly to your CrewAI agent using the `mcps` parameter. This registers the MCP Server tools automatically.

Yes. Any agent with access to the tools can execute `stop_test_run` using the active run ID to terminate a failing test immediately.

Yes. Your monitoring agent can call `get_run_metrics` through the MCP to fetch real-time numbers like active virtual users and error rates.

Your agents can run any of the 10 tools. This includes `list_projects` to find your target project, and `start_test_run` to execute tests using this MCP Server.

The integration only touches your k6 Cloud API credentials, test configurations, and active run statistics. Vinkius executes the server within a secure, ephemeral V8 sandbox, preventing any data leaks during your multi-agent runs.

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