Release Note 7.6

Overview

Pcloudy 7.6 introduces a set of capabilities aimed at improving technical control, orchestration, and performance analysis in testing workflows. This release adds Pcloudy MCP Servers for direct infrastructure-level automation, QuantumRun as the new Pcloudy Test Orchestration Engine, and significant updates to the Performance Experience Testing Platform for deeper performance diagnostics. These features are designed to integrate directly into enterprise test pipelines, enable AI-assisted execution, and allow teams to run structured and adaptable testing at scale.

New Features

Pcloudy - MCP Server Support

Pcloudy now supports Anthropic’s Model Context Protocol (MCP), enabling AI-native testing like never before. Testers and automation systems can initiate, configure, and terminate device sessions through JSON-based commands. Just update your configuration files and instantly connect your AI testing tools to Pcloudy’s real device and browser infrastructure. No complex setup. No delays. Your AI agents can now test, debug, fix scripts, and validate across environments, all from within your preferred AI tools. This includes allocating devices by specific parameters, installing or uninstalling applications, launching test runs, retrieving logs, and capturing performance data without requiring manual intervention in the user interface.

QuantumRun (AI based Test Orchestration Tool)

Test execution just got a brain. While AI tools have sped up test generation, execution has remained a bottleneck, until now. QuantumRun is Pcloudy’s new orchestration engine built to keep up with AI-speed workflows. It automatically maps tests to live infrastructure, optimizes scheduling, and runs tests in parallel where possible—maximizing device utilization and minimizing idle time. The result? Lightning-fast execution without manual intervention, letting your team scale effortlessly.