mseep-k6-mcp-server 0.1.1

Model context protocol server for k6 load testing

🚀 ⚡️ 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

2. Install the required dependencies:

uv pip install -r requirements.txt

3. 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);
}

2. 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"
      ]
    }
  }
}

3. 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.

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