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 Google ADK 10 tools — connect in under 2 minutes

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

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Grafana k6 Cloud (Load Testing) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="grafana_k6_cloud_load_testing_agent",
    instruction=(
        "You help users interact with Grafana k6 Cloud (Load Testing) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports Grafana k6 Cloud (Load Testing) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Grafana k6 Cloud (Load Testing) MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

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

Why Use Google ADK with the Grafana k6 Cloud (Load Testing) MCP Server

Google ADK provides unique advantages when paired with Grafana k6 Cloud (Load Testing) through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Grafana k6 Cloud (Load Testing)

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Grafana k6 Cloud (Load Testing) tools with BigQuery, Vertex AI, and Cloud Functions

Grafana k6 Cloud (Load Testing) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Grafana k6 Cloud (Load Testing) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Grafana k6 Cloud (Load Testing) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Grafana k6 Cloud (Load Testing) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Grafana k6 Cloud (Load Testing) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Grafana k6 Cloud (Load Testing)

Grafana k6 Cloud (Load Testing) MCP Tools for Google ADK (10)

These 10 tools become available when you connect Grafana k6 Cloud (Load Testing) to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Grafana k6 Cloud (Load Testing) + Google ADK FAQ

Common questions about integrating Grafana k6 Cloud (Load Testing) MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.