Can I see if a load test passed its performance thresholds using my agent?

Yes. Use the `get_run_thresholds` tool with a specific Run ID. Your agent will retrieve the final evaluation for all defined thresholds in the script, indicating which specific SLOs passed or failed.

How do I start a new k6 Cloud test run through a conversation?

Use the `start_test_run` tool by providing the Test ID. Your agent will trigger the execution on k6 Cloud infrastructure and return an active Run ID that you can use to track real-time progress.

Can my agent retrieve the raw performance metrics for a completed run?

Absolutely. The `get_run_metrics` tool allows your agent to aggregate data like `http_req_duration`, error counts, and total iterations, providing a rapid summary of your application's behavior under load.

Grafana k6 Cloud (Load Testing) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Grafana k6 Cloud (Load Testing)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Grafana k6 Cloud (Load Testing) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Grafana k6 Cloud (Load Testing) Assistant",
            instructions=(
                "You help users interact with Grafana k6 Cloud (Load Testing). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Grafana k6 Cloud (Load Testing)"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Grafana k6 Cloud (Load Testing) MCP Server

Connect your Grafana Cloud k6 account to any AI agent and take full control of your performance engineering and load testing lifecycle through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Grafana k6 Cloud (Load Testing) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Grafana k6 Cloud (Load Testing), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Test Orchestration — List all cloud-hosted load tests and retrieve detailed script configurations and Virtual User (VU) setups directly from your agent
Execution Management — Start new test runs on k6 Cloud infrastructure and abort active executions instantly to manage system resources
Metrics Analytics — Retrieve aggregated performance metrics (latency, error rates, throughput) for completed runs to understand system behavior under load
Threshold Audit — Get detailed threshold evaluation results to verify if your application meets specific SLOs and performance requirements
Organization & Projects — Navigate across multiple organizations and projects to manage complex testing environments securely
Real-time Monitoring — Poll ongoing test runs to track status transitions (QUEUED, RUNNING, FINISHED) and total execution durations

The Grafana k6 Cloud (Load Testing) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Grafana k6 Cloud (Load Testing) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Grafana k6 Cloud (Load Testing) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Grafana k6 Cloud (Load Testing)

Why Use OpenAI Agents SDK with the Grafana k6 Cloud (Load Testing) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Grafana k6 Cloud (Load Testing) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Grafana k6 Cloud (Load Testing) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Grafana k6 Cloud (Load Testing) MCP Server delivers measurable value.

Automated workflows: build agents that query Grafana k6 Cloud (Load Testing), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Grafana k6 Cloud (Load Testing), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Grafana k6 Cloud (Load Testing) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Grafana k6 Cloud (Load Testing) to resolve tickets, look up records, and update statuses without human intervention

Grafana k6 Cloud (Load Testing) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Grafana k6 Cloud (Load Testing) to OpenAI Agents SDK via MCP:

get_run

Get full details of a k6 test run

get_run_metrics

g., http_req_duration, http_req_failed, iterations, VUs, data_received, etc.). Get performance metrics for a k6 run

get_run_thresholds

Get threshold evaluation results for a k6 run

get_test

Get full details of a k6 test

list_organizations

Returns organization names, IDs, and member counts. List organizations on k6 Cloud

list_projects

Projects contain tests. List projects in a k6 Cloud organization

list_runs

Returns run IDs, status states (QUEUED/RUNNING/FINISHED/ABORTED), VU counts, durations, and timestamps. List test runs for a specific k6 test

list_tests

Returns test names, IDs, scripts, and last run statuses. List all load tests on Grafana Cloud k6

start_test_run

Returns the new active run ID for tracking. Start a new k6 Cloud test run

stop_test_run

Stop a running k6 Cloud test

Example Prompts for Grafana k6 Cloud (Load Testing) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Grafana k6 Cloud (Load Testing) immediately.

"List all my load tests in k6 Cloud"

"Show me the performance metrics for the last run of the 'API Stress Test'"

"Start a new test run for 'Checkout Flow' (ID: 456)"

Troubleshooting Grafana k6 Cloud (Load Testing) MCP Server with OpenAI Agents SDK

Common issues when connecting Grafana k6 Cloud (Load Testing) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Grafana k6 Cloud (Load Testing) + OpenAI Agents SDK FAQ

Common questions about integrating Grafana k6 Cloud (Load Testing) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.