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

Q: How do I integrate Grafana k6 Cloud (Load Testing) into Cursor?

Add the server to your .cursor/mcp.json file. Once configured, enable Agent mode to let the AI interact with your tests.

Q: Is it possible to view test history in Cursor?

Yes, the listruns tool gives you a list of recent executions. You can pick any ID to fetch detailed results.

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Connect Grafana k6 Cloud (Load Testing) MCP to Cursor

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

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Automate load test execution in Cursor

Fire off a new load test directly from your editor using `start_test_run` to validate your recent code changes. You don't have to leave your IDE to see how your new logic handles high traffic. Once the test finishes, check the output with `get_run` to see if the execution was successful. It keeps your feedback loop tight while you are focused on writing logic.

Verify performance thresholds in your editor

Use `get_run_thresholds` to see if your latest code changes violated any performance SLAs. The AI reads the results and suggests optimizations if your metrics are out of bounds. Compare your current run against past performance using `list_runs` to ensure you aren't introducing regressions. It turns performance testing into a standard part of your coding session.

Analyze metric data directly in Cursor

Fetch specific performance counters like `iterations` or `http_req_failed` using `get_run_metrics` to debug latency issues. The data arrives in your context window for immediate analysis. Map these metrics to your project structure by using `list_projects` to find the right test files. You get a clear link between your code and its performance profile.

Setup guide

Set up Grafana k6 Cloud (Load Testing) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Grafana k6 Cloud (Load Testing) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Grafana k6 Cloud (Load Testing) transactions." If the MCP tools are loaded correctly, Cursor will call the Grafana k6 Cloud (Load Testing) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "grafana-k6-cloud-load-testing-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 Cursor

Add the server to your `.cursor/mcp.json` file. Once configured, enable Agent mode to let the AI interact with your tests.

Yes, the agent can run tests and analyze the metrics to find bottlenecks. It uses the real API data to explain why your code might be slowing down.

You can commit your configuration to the project root for everyone to use. It ensures the whole team tests against the same performance baseline.

Yes, the `list_runs` tool gives you a list of recent executions. You can pick any ID to fetch detailed results.

The server only sends back the performance metadata and threshold results you ask for. Your source code and credentials remain isolated from the external API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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