JMeter Demo Using MCP

# JMeter Demo Using MCP This project demonstrates how to use JMeter with Model Context Protocol (MCP) for automated performance testing. ## Prerequisites - Python 3.x - Apache JMeter - MCP-compatible client (e.g., Cursor) ## Project Structure ``` JmeterDemoUsingMCP/ ├── jmeter/ # JMeter installation directory ├── jmeter-mcp-server/ # MCP server for JMeter integration │ ├── test_mcp.py # Test execution script │ └── jmeter_server.py # JMeter MCP server implementation └── AutomationExercise_Test.jmx # Sample JMeter test plan ``` ## Setup 1. Install JMeter and set up the environment: ```bash # Set JMETER_HOME environment variable JMETER_HOME=/path/to/apache-jmeter ``` 2. Install Python dependencies: ```bash pip install mcp pydantic ``` ## Usage 1. Run tests in GUI mode: ```python python test_mcp.py ``` 2. Run tests with increased users: ```python # Modify test_mcp.py parameters: '-Jthreads=10' # Number of users '-Jrampup=20' # Ramp-up period '-Jduration=60' # Test duration ``` ## Features - GUI and Non-GUI test execution - Configurable thread count and test duration - Automated HTML report generation - Real-time test monitoring ## Test Results Results are saved in: - JTL files: `results*.jtl` - HTML reports: `report*/index.html` ## Contributing Feel free to submit issues and enhancement requests!