This MCP server allows users to run Locust load tests within AI environments, supporting both headless and UI modes. It offers configurable test parameters like users, spawn rate, and runtime, facilitating efficient and automated performance testing. Its easy API integration enables developers to embed load testing into their workflows effectively, providing real-time output and flexible protocols.
Added on:
Created by:
Apr 06 2025
This MCP server allows users to run Locust load tests within AI environments, supporting both headless and UI modes. It offers configurable test parameters like users, spawn rate, and runtime, facilitating efficient and automated performance testing. Its easy API integration enables developers to embed load testing into their workflows effectively, providing real-time output and flexible protocols.
Added on:
Created by:
Apr 06 2025
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What is Locust MCP Server?
The Locust MCP Server is a dedicated implementation of the Model Context Protocol designed for executing Locust load tests. It enables AI-powered development platforms to easily initiate, control, and analyze performance tests of web applications using Locust scripts. With support for HTTP/HTTPS protocols, customizable test parameters (such as number of users, spawn rate, and test duration), and options for headless or UI modes, it simplifies performance testing processes. Developers can integrate this server into their CI/CD pipelines or development environments, making it easier to automate stress testing and analyze results using AI tools. The server additionally simplifies configuration, real-time monitoring, and execution management of load tests, streamlining performance validation workflows.
Who will use Locust MCP Server?
- Performance engineers
- QA test automation teams
- Developers integrating load testing into CI/CD
- AI development environments users
- DevOps engineers
How to use the Locust MCP Server?
- Step1: Clone the MCP server repository from GitHub.
- Step2: Install dependencies using 'uv pip install -r requirements.txt'.
- Step3: Set environment variables for your test parameters if needed.
- Step4: Create and configure your Locust test script (e.g., hello.py).
- Step5: Configure the MCP server with your test specifications (host, command, args).
- Step6: Use your MCP client with the proper specs to connect to the server.
- Step7: Initiate the load test via your AI platform or MCP client, specifying test parameters.
- Step8: Monitor real-time outputs and analyze results.
Locust MCP Server's Core Features & Benefits
The Core Features
- Supports execution of Locust load tests
- Configurable parameters for users, spawn rate, and duration
- Supports both headless and graphical modes
- Easy API for starting, stopping, and monitoring tests
- Supports HTTP and HTTPS protocols
- Supports custom Locust task scenarios
The Benefits
- Enables seamless integration of load testing into AI environments
- Automates performance testing processes
- Supports flexible configuration for diverse testing needs
- Provides real-time test execution insights
- Simplifies complex load testing workflows
Locust MCP Server's Main Use Cases & Applications
- Automated performance testing in CI/CD pipelines
- AI-powered analysis of load test results
- Stress testing web applications during development
- Integration of load testing in DevOps workflows
- Real-time monitoring of application performance under load
FAQs of Locust MCP Server
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