Grafana k6 Cloud (Load Testing) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Grafana k6 Cloud (Load Testing) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Grafana k6 Cloud (Load Testing), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vercel AI SDK gives every Grafana k6 Cloud (Load Testing) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Grafana k6 Cloud (Load Testing) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Grafana k6 Cloud (Load Testing) and passes them to the LLM
Why Use Vercel AI SDK with the Grafana k6 Cloud (Load Testing) MCP Server
Vercel AI SDK provides unique advantages when paired with Grafana k6 Cloud (Load Testing) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Grafana k6 Cloud (Load Testing) integration everywhere
Built-in streaming UI primitives let you display Grafana k6 Cloud (Load Testing) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Grafana k6 Cloud (Load Testing) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Grafana k6 Cloud (Load Testing) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Grafana k6 Cloud (Load Testing) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Grafana k6 Cloud (Load Testing) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Grafana k6 Cloud (Load Testing) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Grafana k6 Cloud (Load Testing) through natural language queries
Grafana k6 Cloud (Load Testing) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Grafana k6 Cloud (Load Testing) to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Grafana k6 Cloud (Load Testing) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGrafana k6 Cloud (Load Testing) + Vercel AI SDK FAQ
Common questions about integrating Grafana k6 Cloud (Load Testing) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Grafana k6 Cloud (Load Testing) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Grafana k6 Cloud (Load Testing) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.