Cover image
Try Now
2025-03-30

Miroir dehttps: //github.com/qainsights/locust-mcp-server

3 years

Works with Finder

0

Github Watches

0

Github Forks

0

Github Stars

🚀 ⚡️ locust-mcp-server

A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments.

✨ Features

  • Simple integration with Model Context Protocol framework
  • Support for headless and UI modes
  • Configurable test parameters (users, spawn rate, runtime)
  • Easy-to-use API for running Locust load tests
  • Real-time test execution output
  • HTTP/HTTPS protocol support out of the box
  • Custom task scenarios support

Locust-MCP-Server

🔧 Prerequisites

Before you begin, ensure you have the following installed:

📦 Installation

  1. Clone the repository:
git clone https://github.com/yourusername/locust-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:
LOCUST_HOST=http://localhost:8089  # Default host for your tests
LOCUST_USERS=3                     # Default number of users
LOCUST_SPAWN_RATE=1               # Default user spawn rate
LOCUST_RUN_TIME=10s               # Default test duration

🚀 Getting Started

  1. Create a Locust test script (e.g., hello.py):
from locust import HttpUser, task, between

class QuickstartUser(HttpUser):
    wait_time = between(1, 5)

    @task
    def hello_world(self):
        self.client.get("/hello")
        self.client.get("/world")

    @task(3)
    def view_items(self):
        for item_id in range(10):
            self.client.get(f"/item?id={item_id}", name="/item")
            time.sleep(1)

    def on_start(self):
        self.client.post("/login", json={"username":"foo", "password":"bar"})
  1. Configure the MCP server using the below specs in your favorite MCP client (Claude Desktop, Cursor, Windsurf and more):
{
  "mcpServers": {
    "locust": {
      "command": "/Users/naveenkumar/.local/bin/uv",
      "args": [
        "--directory",
        "/Users/naveenkumar/Gits/locust-mcp-server",
        "run",
        "locust_server.py"
      ]
    }
  }
}
  1. Now ask the LLM to run the test e.g. run locust test for hello.py. The Locust MCP server will use the following tool to start the test:
  • run_locust: Run a test with configurable options for headless mode, host, runtime, users, and spawn rate

📝 API Reference

Run Locust Test

run_locust(
    test_file: str,
    headless: bool = True,
    host: str = "http://localhost:8089",
    runtime: str = "10s",
    users: int = 3,
    spawn_rate: int = 1
)

Parameters:

  • test_file: Path to your Locust test script
  • headless: Run in headless mode (True) or with UI (False)
  • host: Target host to load test
  • runtime: Test duration (e.g., "30s", "1m", "5m")
  • users: Number of concurrent users to simulate
  • spawn_rate: Rate at which users are spawned

🤝 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.

相关推荐

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • https://appia.in
  • Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • tomoyoshi hirata
  • Sony α7IIIマニュアルアシスタント

  • apappascs
  • Découvrez la collection la plus complète et la plus à jour de serveurs MCP sur le marché. Ce référentiel sert de centre centralisé, offrant un vaste catalogue de serveurs MCP open-source et propriétaires, avec des fonctionnalités, des liens de documentation et des contributeurs.

  • ShrimpingIt
  • Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX

  • jae-jae
  • MCP Server pour récupérer le contenu de la page Web à l'aide du navigateur sans tête du dramwright.

  • HiveNexus
  • Un bot de chat IA pour les petites et moyennes équipes, soutenant des modèles tels que Deepseek, Open AI, Claude et Gemini. 专为中小团队设计的 Ai 聊天应用 , 支持 Deepseek 、 Open Ai 、 Claude 、 Gemini 等模型。

  • ravitemer
  • Un puissant plugin Neovim pour gérer les serveurs MCP (Protocole de contexte modèle)

  • patruff
  • Pont entre les serveurs Olllama et MCP, permettant aux LLM locaux d'utiliser des outils de protocole de contexte de modèle

  • Sysc4lls
  • Lecteur de documentation IDA (Sort-of) MCP Server

  • pontusab
  • La communauté du curseur et de la planche à voile, recherchez des règles et des MCP

  • JackKuo666
  • 🔍 Permettre aux assistants d'IA de rechercher et d'accéder aux informations du package PYPI via une interface MCP simple.

    Reviews

    4 (1)
    Avatar
    user_UWyttIRq
    2025-04-17

    QAInsights_locust-mcp-server by MCP-Mirror is an outstanding tool for performance testing. It integrates seamlessly with Locust, making it easy to manage and scale load tests. The user-friendly interface and robust features have significantly improved our testing processes. Highly recommend this to any QA engineer looking to enhance their testing toolkit. Check it out at the provided GitHub link!