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:

# Set JMETER_HOME environment variable
JMETER_HOME=/path/to/apache-jmeter

2. Install Python dependencies:

pip install mcp pydantic

Usage

1. Run tests in GUI mode:

python test_mcp.py

2. Run tests with increased users:

# 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!