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k6-MCP 服务器

一种模型上下文协议(MCP)服务器实现,允许AI助手通过自然语言命令运行k6负载测试,支持自定义测试时长和虚拟用户。

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README

🚀 ⚡️ 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:

📦 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.
  • 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

k6-MCP

📝 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.

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端