What's new for October 2025?

[MCP]: BlazeMeter MCP Server Now Available


The BlazeMeter MCP Server connects BlazeMeter’s performance testing platform to AI tools via the Model Context Protocol (MCP). AI agents and assistants can create, configure, execute, and analyze performance tests using natural language. Designed for developers and QA teams, it streamlines the testing lifecycle from setup and load configuration to monitoring and report analysis. The MCP Server can be deployed locally or with Docker and works with popular MCP hosts such as VS Code, Claude Desktop, and Cursor, bringing BlazeMeter workflows into AI-driven environments.

Key Use Cases

  • Automate performance test creation, configuration, and asset handling
  • Start and monitor tests and retrieve detailed reports and metrics
  • Navigate accounts, workspaces, and projects efficiently
  • Set load parameters such as concurrency, duration, and geographic distribution
  • Analyze reports to surface errors, metrics, and performance trends
  • Manage multiple accounts and permissions through AI-driven workflows

 

[Performance]: Expanded k6 Support in BlazeMeter

BlazeMeter now supports k6 stages through the Taurus executor, giving you finer control over load patterns and more realistic traffic simulation. Combined with the ability to edit k6 JavaScript files directly in the BlazeMeter editor, this provides a smoother workflow for creating, customizing, and running k6 tests in one place.

  • Define stage-based load profiles to shape traffic over time
  • Edit and iterate on k6 scripts in the browser without switching tools
  • Create, adjust, and run k6 tests within BlazeMeter for a streamlined workflow
k6