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Automated Load Testing Using AI Assistants, MCP, and NeoLoad | End-to-End Architecture Overview

In this video, we explore a cutting-edge approach to automated performance testing using AI assistants (LLMs like Copilot and Claude), MCP architecture, and NeoLoad. Learn how natural language prompts from users or AI are processed through the MCP Client and Server layers to trigger performance test actions such as running load tests, retrieving results, and generating KPI summaries.

🔍 What’s Covered:

Interaction between AI Assistants and MCP architecture

Role of MCP Client Layer and Server (Tricentis-hosted or custom)

Integration with NeoLoad API and NeoLoad DB

Automated test execution and results extraction