DUBLIN /PRNewswire/ : BrowserStack, the world's leading software testing platform, announced today that BrowserStack MCP Server is now available in Amazon Web Services (AWS) Marketplace, which helps organizations easily discover, try, test, buy, deploy, and manage thousands of software solutions, including pre-built AI agents and ready-to-integrate tools, all in one convenient destination.
BrowserStack MCP Server is an open-source integration layer enabling developers to access enterprise-grade testing capabilities directly from AI tools like GitHub Copilot, Cursor, and Claude. By bridging the gap between AI assistants and testing infrastructure, the MCP Server eliminates context switching and helps teams test, debug, and ship faster through natural-language interactions.
AWS customers will now have access to BrowserStack MCP Server's capabilities directly in AWS Marketplace, streamlining the purchase and integration of AI-powered testing into their workflows.
Key capabilities include:
• Launch apps or websites on thousands of real devices and browsers instantly from your IDE
• Run Playwright and Selenium suites with AI-powered debugging, failure analysis, and automated fixes
• Scan for accessibility issues with AI-suggested remediations to ensure WCAG and ADA compliance
• Generate test cases from PRDs, convert manual tests to automation, and auto-heal flaky tests using BrowserStack AI agents
"Developers already use AI tools in their IDEs, but those tools can't take action beyond suggesting code," said Ritesh Arora, CEO and Co-founder of BrowserStack. "With BrowserStack MCP Server available in AWS Marketplace, a developer can simply ask their AI assistant to 'run this APK on a Pixel device and debug the crash,' and it happens instantly—app installed, launched on a real device, with full logs and stack traces. We're giving AWS customers the ability to turn their AI assistants into testing agents that execute real workflows."
BrowserStack MCP Server is now available in AWS Marketplace, bringing AI-powered testing workflows to development teams worldwide.
About BrowserStack
BrowserStack is the world's leading software testing platform, powered by AI to help developers and QA teams deliver quality software at speed. Trusted by over 50,000 teams, including Amazon, Microsoft, and NVIDIA, BrowserStack powers more than three million tests every day across 21 global data centers. The platform gives teams instant access to over 30,000 real devices and browsers.
Founded in 2011, BrowserStack is a privately held company backed by Accel, Bond, and Insight Partners. For more information, visit https://www.browserstack.com.
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Bengaluru: Bangalore International Airport Limited (BIAL) has introduced an integrated smart airside safety system at Kempegowda International Airport to improve operational safety at key intersection zones.
According to The Hindu, the system has been designed to enhance safety at Cross Service Roads (CSRs), where aircraft and ground vehicle movements intersect.
According to BIAL, the system integrates AI-based computer vision, automation, and centralised monitoring to manage right-of-way movements and reduce the risk of human error.
“CRSs are among the most sensitive areas within airport operations, requiring precise and seamless coordination between aircraft and ground vehicles. Traditionally, right of way protection at these intersections relied on manual or semi-manual inset light activation, creating dependencies on human intervention, increasing the risk of delays and limiting operational visibility,” TH quoted BIAL as saying.
The new system uses real-time detection of vehicle movement, risk assessment, and automated signalling. AI-enabled cameras identify potential conflicts and trigger automated inset light signals to ensure aircraft priority. Normal operations resume once the area is confirmed clear.
“Based on these detections, the system triggers automated inset light activation to protect aircraft right‑of‑way and restores normal signalling once the intersection is confirmed clear. A centralised monitoring and analytics platform digitally logs all events, strengthening governance, compliance, and operational control,” BIAL said.
By embedding technology into operations, the system creates a data-driven separation layer between aircraft and ground vehicles, significantly reducing human error, especially during night and low-visibility conditions.
“Precision-led signal activation improves traffic flow, minimises unnecessary stoppage and enhances turnaround efficiency. It also establishes a scalable foundation for predictive safety analytics, enabling trend analysis, peak-hour optimisation, compliance mapping and risk forecasting to support continuous improvement and stronger airside governance,” BIAL said.
