Control Pcloudy with AI Using the QPilot MCP Server
The QPilot MCP Server connects your Pcloudy environment directly to MCP compatible AI assistants like Claude Desktop, Cursor, and Claude Code. Simply use natural language prompts to discover devices, launch sessions, execute tests, and retrieve results, eliminating the need for manual navigation and scripting.
Natural Language Control.
AI Driven Execution.
Instant Device Access.
Seamless MCP Integration.
Validate Backend Data with Database Connector
Database Connector allows you to execute database queries directly within your QPilot test workflows. Query results are stored as variables that can be validated or reused in subsequent steps, making backend verification a seamless part of automated testing.
In Test Queries.
Backend Validation.
Reusable Data Variables.
End to End Verification.
Perform Intelligent Validation with Ask AI.
Ask AI enables testers to validate application behavior using plain English instructions. Whether analyzing screens, reviewing documents, or leveraging contextual data and skill files, Ask AI helps automate complex validations and data extraction without writing intricate assertions.
AI Powered Validation.
Intelligent Data Extraction.
Context Aware Analysis.
Natural Language Assertions.
New Device/ OS Additions.
Test your iOS apps on the Latest Apple OS - iOS 27.
Pcloudy 8.42026年5月26日
功能
QVerify Ensures Your APIs Work Together, Not Just Alone
QVerify is your go to API testing solution built to validate complete workflows, not just individual API calls. Because in real world applications, APIs rarely fail in isolation. QVerify helps teams ensure that sequences, dependencies, and interactions between APIs work exactly as expected, delivering reliable end to end application behavior.
Key Highlights:
Validate complete API workflows, not just single calls.
Test real world API sequences and dependencies.
Ensure end to end application accuracy.
Catch failures that traditional API tests miss.
QPilot Now Automates Advanced Mobile Scenarios with Natural Language
QPilot now supports advanced mobile commands like geo location, network throttling, image injection, and offline mode directly through natural language inputs. Simply describe your test flow, and QPilot generates complete automation scripts with the required mobile commands embedded, making complex mobile testing faster, smarter, and fully automated.
Key Highlights:
Automate geo location, network, and device conditions.
Generate scripts with advanced mobile commands automatically.
Use natural language to define complex mobile test flows.
Accelerate mobile test creation with higher accuracy.
Pcloudy 8.32026年4月15日
功能
Enhanced Qgen with Multi-Source Inputs & AI Refinement:
Qgen now supports generating test cases from requirements documents, Figma designs, and multiple input sources combined, enabling teams to create more comprehensive and context-rich test scenarios. This allows users to bring together different artifacts like feature descriptions, screenshots, documents, APIs, and live websites into a single test generation flow.
Additionally, the new AI refinement capability allows users to tweak and improve generated test steps where needed. Instead of rewriting test cases manually, teams can guide the AI to refine outputs, ensuring better accuracy and completeness. Qgen continues to help teams generate structured, high-quality test cases in minutes, significantly reducing manual effort and accelerating test design.
Push Files Support on Pcloudy Browsers:
Now enables validation of file upload workflows directly within browser sessions using the new Push Files functionality. Users can upload various file types such as media, images, and audio files into real desktop browsers to test upload behavior seamlessly. This removes the need for manual workarounds and ensures teams can validate real-world user interactions more effectively across different browser environments.
Extended Support for Android 17 Devices:
Pcloudy has extended its device coverage to include support for devices running Android 17, enabling teams to test their applications on the latest OS versions without delay. This helps teams identify OS-specific issues early, improve compatibility, and ensure readiness for users adopting the newest Android ecosystem.
Pcloudy 8.32026年4月15日
功能
Enhanced Qgen with Multi-Source Inputs & AI Refinement:
Qgen now supports generating test cases from requirements documents, Figma designs, and multiple input sources combined, enabling teams to create more comprehensive and context-rich test scenarios. This allows users to bring together different artifacts like feature descriptions, screenshots, documents, APIs, and live websites into a single test generation flow.
Additionally, the new AI refinement capability allows users to tweak and improve generated test steps where needed. Instead of rewriting test cases manually, teams can guide the AI to refine outputs, ensuring better accuracy and completeness. Qgen continues to help teams generate structured, high-quality test cases in minutes, significantly reducing manual effort and accelerating test design.
Push Files Support on Pcloudy Browsers:
Now enables validation of file upload workflows directly within browser sessions using the new Push Files functionality. Users can upload various file types such as media, images, and audio files into real desktop browsers to test upload behavior seamlessly. This removes the need for manual workarounds and ensures teams can validate real-world user interactions more effectively across different browser environments.
Extended Support for Android 17 Devices:
Pcloudy has extended its device coverage to include support for devices running Android 17, enabling teams to test their applications on the latest OS versions without delay. This helps teams identify OS-specific issues early, improve compatibility, and ensure readiness for users adopting the newest Android ecosystem.
Pcloudy 8.22026年3月13日
功能
Run Android Espresso Tests Directly on Real Devices
Pcloudy Espresso integration lets teams run Android Espresso tests on real cloud devices directly from their local setup. With a single JSON file and JAR, everything is triggered seamlessly. Pcloudy handles device booking, APK upload, execution, and reporting automatically. This makes real device testing simple, scalable, and easy to integrate into existing workflows.
Share App Performance Reports Instantly
App Performance Reports now support easy sharing across teams and stakeholders. With the new Share Report capability, users can generate a shareable link for any performance session.
This link allows team members, managers, or external collaborators to view the performance report without needing a Pcloudy login. Shared links remain active for 1 day, making it easy to distribute insights during release discussions, performance reviews, or debugging sessions.
UI Insights Page Transition Analysis
UI Insights now includes a powerful Page Transition section that provides a detailed breakdown of every screen transition captured during an App Performance session.
The feature tracks page labels, transition timing, load duration, and loading status. This helps teams quickly identify screens that load slowly or cause performance bottlenecks. The data can be explored using both Table View and Graph View to provide different perspectives on application behavior.
New Device Additions:
iPhone 17.
Samsung S26.
Pcloudy 8.12026年2月11日
功能
Added Qgen AI Powered Test Case Generation
Qgen removes this bottleneck by using AI to generate structured, high quality test cases directly from functional inputs.
Teams can provide descriptions, images, documents, APIs, or URLs, and Qgen automatically analyzes them to produce comprehensive test cases that improve coverage and accelerate test design.
The Slow Loading feature in UI Insights helps teams proactively identify screens and transactions that take longer than expected to load. By automatically flagging slow UI behavior based on defined thresholds and linking it to execution evidence, teams can quickly diagnose and resolve responsiveness issues.
Product Enhancement: Automation Report Revamp
Brings clarity with visual success indicators, trend tracking, and AI driven diagnostics across Selenium and Appium executions. Teams can now compare builds, identify unstable patterns, and understand failures faster with less effort.
Pcloudy 8.0主版本2026年1月19日
功能
QPilot Automation Resilience with Manual Interaction for Failed Test Steps
Introduces Manual Interaction in QPilot, allowing users to recover failed automation steps without rewriting or restarting tests. When a test step fails, the Record Manually option becomes available, enabling testers to manually complete the failed action. The manually recorded step is automatically added back into the test flow along with the generated xpath.
Updated Pcloudy Documentation Appearance
Documentation is now clearly organized into dedicated sections for Mobile Testing, Web Testing, and Automation. The new structure helps users quickly locate relevant guides, setup instructions, and reference material.
Extended Appium 3.0 Support (On Demand)
Pcloudy 8.0 extends support for Appium 3.0 on select private instances, available on demand. Appium 3.0 modernizes the automation framework with a leaner architecture, improved performance, stronger security controls, and stricter W3C compliance.