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Blazemeter

blazemeter-scripting

by Blazemeter

Official BlazeMeter MCP Server for AI-driven performance testing

23🍴 2📅 2026年1月22日
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SKILL.md


name: blazemeter-scripting description: Comprehensive guide for BlazeMeter Scripting, including Groovy/Beanshell, JMeter plugins, JMeter DSL, and API Monitoring scripting. Use when working with scripting for (1) Writing files in Groovy/Beanshell scripts, (2) Using non-standard JMeter plugins, (3) Creating JMeter tests with JMeter DSL, (4) Writing custom scripts for API Monitoring (custom libraries, included libraries, initial script, reusable snippets), or any other scripting tasks.

BlazeMeter Scripting

Comprehensive guide for scripting in BlazeMeter tests.

Overview

Scripting in BlazeMeter supports Groovy/Beanshell for Performance tests, JMeter DSL for code-based test creation, and JavaScript for API Monitoring. This skill covers all scripting capabilities.

Quick Start

  1. Groovy/Beanshell: Write files and custom logic in Performance tests
  2. JMeter Plugins: Use non-standard JMeter plugins
  3. JMeter DSL: Create JMeter tests as code
  4. API Monitoring Scripting: Write custom JavaScript for API Monitoring

MCP Tools Integration

While scripting is primarily done through test configuration and code, you can use BlazeMeter MCP tools to manage tests that use custom scripts:

Available MCP Tools

  • Test Management:

    • blazemeter_tests with action read - Read test details including script configuration
    • blazemeter_tests with action list - List all tests in a project
    • Required args: test_id (integer) or project_id (integer)
    • Returns: Test details including script files and configuration
  • Test Execution:

    • blazemeter_execution with action read - Read execution details for scripted tests
    • blazemeter_execution with action list - List all executions for a test
    • Required args: execution_id (integer) or test_id (integer)
    • Returns: Execution details and results

When to Use MCP Tools

  • Test Management: Manage tests with custom scripts programmatically
  • Script Validation: Verify test scripts are configured correctly
  • Execution Monitoring: Monitor execution of scripted tests
  • Automation: Integrate scripted tests into automation workflows

Example Workflow

Managing Scripted Tests:

  1. Use blazemeter_tests with action list to find tests with custom scripts
  2. Use blazemeter_tests with action read to get test details and script configuration
  3. Use blazemeter_execution with action read to monitor test execution
  4. Review execution results for script-related issues

Reference Files

Groovy/Beanshell

JMeter Plugins

JMeter DSL

API Monitoring Scripting

When to Use Each Reference

  • Groovy/Beanshell: When writing files or custom logic in Performance tests
  • JMeter Plugins: When using non-standard JMeter plugins
  • JMeter DSL: When creating JMeter tests as code in Java
  • API Monitoring Scripting: When writing custom JavaScript for API Monitoring tests

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