locust-mcp-server
by QAInsights
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.
Last updated: N/A
What is locust-mcp-server?
The locust-mcp-server is an implementation of a Model Context Protocol (MCP) server designed to facilitate Locust load testing. It allows you to integrate Locust with AI-powered development environments, enabling you to run and manage load tests through an MCP client.
How to use locust-mcp-server?
To use the locust-mcp-server, first clone the repository and install the dependencies using uv pip install -r requirements.txt. Then, configure the MCP server in your client with the provided JSON specs, pointing to the locust_server.py file. Finally, use your LLM to trigger the tests using commands like run locust test for hello.py.
Key features of locust-mcp-server
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
Use cases of locust-mcp-server
LLM powered results analysis
Effective debugging with the help of LLM
Automated load testing within AI development environments
Integrating load testing into CI/CD pipelines using AI agents
FAQ from locust-mcp-server
What is Locust?
What is Locust?
Locust is an open-source load testing tool written in Python.
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a framework for integrating tools with AI-powered development environments.
What Python version is required?
What Python version is required?
Python 3.13 or higher is required.
How do I run a Locust test?
How do I run a Locust test?
Use the run_locust function with the path to your test file and desired parameters.
Can I run the tests in headless mode?
Can I run the tests in headless mode?
Yes, you can run the tests in headless mode by setting the headless parameter to True.