Integrates Locust load testing capabilities with AI-powered development environments via the Model Context Protocol.
Sponsored
Enables seamless integration of Locust load testing with AI-powered development environments using a Model Context Protocol (MCP) server implementation. It provides an easy-to-use API for running Locust load tests, configurable test parameters, and real-time test execution output, enhancing your performance testing workflow.
Características Principales
01Configurable test parameters (users, spawn rate, runtime)
021 GitHub stars
03Simple integration with Model Context Protocol framework
04Easy-to-use API for running Locust load tests
05Supports headless and UI modes
06Real-time test execution output
Casos de Uso
01Running Locust load tests directly from AI-powered development environments.
02Automating load testing as part of a CI/CD pipeline.
03Configuring and executing performance tests with customizable parameters.