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

Q: How do I install the Grafana k6 Cloud (Load Testing) MCP Server in Mastra AI?

Import the client from @mastra/mcp and register this MCP Server with your agent. Point it to your Vinkius HTTP URL to expose the k6 tools to your workflow engine.

Q: Can my Mastra AI agent stop a running load test?

Yes. Your agent can call stoptestrun if metrics exceed acceptable bounds. This prevents wasting cloud resources on failing builds.

Q: Does Grafana k6 Cloud (Load Testing) support Mastra AI workflow retries?

Yes. When your agent calls getrunmetrics through the MCP, Mastra AI handles any network drops using its built-in retry logic.

Q: Can my Mastra AI agent run multiple load tests simultaneously?

Yes. Your agent can call starttestrun multiple times. The MCP Server handles these requests concurrently, returning a unique run ID for each test.

Trigger and analyze automated load tests inside your Mastra AI agent workflows.

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Connect Grafana k6 Cloud (Load Testing) MCP to Mastra AI

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

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Run automated performance gates in Mastra AI workflows

`start_test_run` initiates a k6 Cloud test run programmatically when your workflow triggers a new deployment. Mastra AI can use this tool to kick off automated stress tests without manual intervention. If the test fails, your workflow can branch dynamically. The agent uses `get_run_thresholds` to check if your performance budgets were breached, letting you decide whether to roll back or proceed.

Monitor active test runs with automatic retries

`get_run_metrics` fetches real-time data like HTTP duration, error rates, and active virtual users. Mastra AI uses its built-in retry engine to poll this tool, handling any transient network hiccups gracefully. If a test run behaves abnormally, the agent calls `stop_test_run` to prevent wasting your k6 Cloud subscription credits. You get reliable execution monitoring without babysitting the terminal.

Map your testing environments using this MCP Server

`list_organizations` fetches the names and IDs of your teams on k6 Cloud. Your agent uses this tool to orient itself and select the correct billing account before running any tests. Once oriented, the agent calls `list_projects` and `list_tests` to find the exact performance script needed for the current run. This discovery process ensures your automated workflows always target the right resources.

Setup guide

Set up Grafana k6 Cloud (Load Testing) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Grafana k6 Cloud (Load Testing) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "grafana-k6-cloud-load-testing-mcp-client",
  servers: {
    "grafana-k6-cloud-load-testing-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Grafana k6 Cloud (Load Testing) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Grafana k6 Cloud (Load Testing) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Grafana k6 Cloud (Load Testing) transactions"
);
console.log(result.text);

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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 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 Mastra AI

Import the client from `@mastra/mcp` and register this MCP Server with your agent. Point it to your Vinkius HTTP URL to expose the k6 tools to your workflow engine.

Yes. Your agent can call `stop_test_run` if metrics exceed acceptable bounds. This prevents wasting cloud resources on failing builds.

Yes. When your agent calls `get_run_metrics` through the MCP, Mastra AI handles any network drops using its built-in retry logic.

Yes. Your agent can call `start_test_run` multiple times. The MCP Server handles these requests concurrently, returning a unique run ID for each test.

This server interacts solely with your k6 Cloud API tokens, performance run data, and threshold configurations. Vinkius isolates each connection in a zero-trust, ephemeral sandbox, ensuring your load testing parameters remain completely secure.

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