JMeter
Enables natural language execution of JMeter performance tests in both GUI and non-GUI modes, returning detailed results for autom
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.
Source
Repository: https://github.com/qainsights/jmeter-mcp-server
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