Grafana k6 Cloud (Load Testing) MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Grafana k6 Cloud (Load Testing) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"grafana-k6-cloud-load-testing": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Grafana k6 Cloud (Load Testing) Agent",
instructions:
"You help users interact with Grafana k6 Cloud (Load Testing) " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Grafana k6 Cloud (Load Testing)?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Grafana k6 Cloud (Load Testing) tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Grafana k6 Cloud (Load Testing) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Grafana k6 Cloud (Load Testing) via MCP
Why Use Mastra AI with the Grafana k6 Cloud (Load Testing) MCP Server
Mastra AI provides unique advantages when paired with Grafana k6 Cloud (Load Testing) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Grafana k6 Cloud (Load Testing) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Grafana k6 Cloud (Load Testing) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Grafana k6 Cloud (Load Testing) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Grafana k6 Cloud (Load Testing) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Grafana k6 Cloud (Load Testing), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Grafana k6 Cloud (Load Testing) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Grafana k6 Cloud (Load Testing) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Grafana k6 Cloud (Load Testing) tools alongside other MCP servers
Grafana k6 Cloud (Load Testing) MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Grafana k6 Cloud (Load Testing) to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Grafana k6 Cloud (Load Testing) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGrafana k6 Cloud (Load Testing) + Mastra AI FAQ
Common questions about integrating Grafana k6 Cloud (Load Testing) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.