🚀 ⚡️ k6-mcp-server

A Model Context Protocol (MCP) server implementation for running k6 load tests.

✨ Features

• Simple integration with Model Context Protocol framework
• Support for custom test durations and virtual users (VUs)
• Easy-to-use API for running k6 load tests
• Configurable through environment variables
• Real-time test execution output

🔧 Prerequisites

Before you begin, ensure you have the following installed:

• Python 3.12 or higher
• k6 load testing tool (Installation guide)
• uv package manager (Installation guide)

📦 Installation

1. Clone the repository:

git clone https://github.com/qainsights/k6-mcp-server.git

1. Install the required dependencies:

uv pip install -r requirements.txt

1. Set up environment variables (optional): Create a .env file in the project root:

K6_BIN=/path/to/k6  # Optional: defaults to 'k6' in system PATH

🚀 Getting Started

1. Create a k6 test script (e.g., test.js):

import http from "k6/http";
import { sleep } from "k6";

export default function () {
  http.get("http://test.k6.io");
  sleep(1);
}

1. Configure the MCP server using the below specs in your favorite MCP client (Claude Desktop, Cursor, Windsurf and more):

{
  "mcpServers": {
    "k6": {
      "command": "/path/to/bin/uv",
      "args": [
        "--directory",
        "/path/to/k6-mcp-server",
        "run",
        "k6_server.py"
      ]
    }
  }
}

1. Now ask the LLM to run the test e.g. run k6 test for hello.js. The k6 mcp server will leverage either one of the below tools to start the test.

2. execute_k6_test: Run a test with default options (30s duration, 10 VUs)

3. execute_k6_test_with_options: Run a test with custom duration and VUs

📝 API Reference

Execute K6 Test

execute_k6_test(
    script_file: str,
    duration: str = "30s",  # Optional
    vus: int = 10          # Optional
)

Execute K6 Test with Custom Options

execute_k6_test_with_options(
    script_file: str,
    duration: str,
    vus: int
)

✨ Use cases

• LLM powered results analysis
• Effective debugging of load tests

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.