QAInsights_locust-mcp-server

QAInsights_locust-mcp-server

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developer_toolscloud_platforms

Locust-MCP-Server is a Model Context Protocol server implementation designed for running Locust load tests. It facilitates the integration of load testing capabilities in AI development environments, supporting both headless and UI modes with configurable parameters.

🚀 ⚡️ 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

🔧 Prerequisites

  • Python 3.13 or higher
  • uv package manager

📦 Installation

  1. Clone the repository.
  2. Install the required dependencies.
  3. Set up environment variables.

🚀 Getting Started

  • Create a Locust test script.
  • Configure the MCP server using the specified specs.