JMeter
Enables natural language execution of JMeter performance tests in both GUI and non-GUI modes, returning detailed results for automated load testing workflows.
About
JMeter MCP Server provides a bridge between AI assistants and Apache JMeter, enabling execution of performance tests through natural language commands. The implementation offers tools to run JMeter tests in both GUI and non-GUI modes, with proper environment configuration and error handling. Built with Python using the FastMCP framework, it integrates with JMeter's command-line interface to execute test plans (.jmx files) and return detailed execution results, making it ideal for performance engineers who want to automate load testing workflows through conversational AI.
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