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

Q: How do I connect the Grafana k6 Cloud (Load Testing) server to my Vercel AI SDK app?

Install the @ai-sdk/mcp package to connect this MCP Server using createMCPClient with your Vinkius HTTP endpoint. Pass the tools directly to streamText or generateText in your Edge Functions. Always call close() on the client when your session ends.

Q: Can my Vercel AI SDK agent stop an active run?

Yes. Your agent can invoke stoptestrun to halt any active load test instantly. It uses the run ID returned by starttestrun to target the correct execution.

Run and monitor load tests live in your Next.js frontend with Vercel AI SDK.

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Connect Grafana k6 Cloud (Load Testing) MCP to Vercel AI SDK

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

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Kick off k6 test runs directly from your Vercel AI SDK UI

`start_test_run` initiates a load test directly from your user interface. Your AI client calls this tool to kick off active simulation runs on the k6 Cloud infrastructure, returning a unique run ID immediately. You don't have to wait around for a full page reload. When you need to stop a runaway test that is spiking costs, your agent invokes `stop_test_run` to terminate the execution on the spot.

Stream raw execution metrics into your frontend components

`get_run_metrics` pulls live performance data like virtual users, HTTP request failures, and data received. The Vercel AI SDK streams these metrics straight into your React or Next.js components, so users watch the load test execute in real time. To check if your latest deployment broke performance SLAs, your agent uses `get_run_thresholds`. This tool inspects the pass or fail status of your pre-defined k6 thresholds instantly.

Browse k6 projects and tests using this MCP Server

`list_projects` pulls your active project list from a specific k6 Cloud organization. Your agent uses this tool to locate the correct environment before running any load tests. Once the project is selected, the agent calls `list_tests` and `list_runs` to display historical performance trends and script details. This MCP Server setup handles the backend connections so you can focus on writing clean Next.js code.

Setup guide

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

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Grafana k6 Cloud (Load Testing) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Grafana k6 Cloud (Load Testing) transactions",
});

console.log(text);
await mcpClient.close();

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 Vercel AI SDK

Install the `@ai-sdk/mcp` package to connect this MCP Server using `createMCPClient` with your Vinkius HTTP endpoint. Pass the tools directly to `streamText` or `generateText` in your Edge Functions. Always call `close()` on the client when your session ends.

Yes. Your agent can invoke `stop_test_run` to halt any active load test instantly. It uses the run ID returned by `start_test_run` to target the correct execution.

The SDK streams tool outputs directly into your UI. When your agent calls `get_run_metrics` through the MCP, the raw numbers for virtual users and response times populate on the page without loading spinners.

No. Vinkius handles the authentication backend, meaning you only need one endpoint token to connect this MCP Server. Your AI client handles the rest.

This server only accesses your k6 Cloud API tokens, test configurations, and raw run metrics. Vinkius runs the integration in a secure, ephemeral V8 isolate sandbox to keep your performance data private.

Use it with your favorite AI tools

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