Locust
Enables natural language control of Locust load testing operations, allowing configuration and execution of performance tests with
Locust MCP Server provides a bridge between AI assistants and the Locust load testing framework, enabling natural language control of performance testing operations. Developed by NaveenKumar Namachivayam, this implementation uses FastMCP to expose Locust's functionality through a standardized tool that configures and executes load tests with customizable parameters including number of users, spawn rate, and test duration. The server reads configuration from environment variables and manages the Locust subprocess, making it ideal for DevOps engineers and QA professionals who want to integrate performance testing into their AI-assisted workflows without manual command-line interaction.
Source
Repository: https://github.com/qainsights/locust-mcp-server
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