Masterclass

Master QA’s Next Shift: MCP-Powered Testing

Build MCP-powered testing workflows across Jira, automation, RCA, and CI/CD in 2 hours.
Calendar 29th April, 2026
Clock 8:00 AM PT
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Meet the Speakers

K V S Dileep
Head of Gen AI Education, Outskill
AI Researcher from IIT Madras, now training 50,000+ professionals in Generative AI concepts at leading education startups
Debasmriti Ghosh
Sr. Lead SDET, BrowserStack
11 years of experience in QA domain - designing, building, and maintaining robust automation frameworks across web, mobile and API platforms
Vinod Reddy
Sr. SDET, BrowserStack
AI testing pioneer specializing in Selenium, Playwright & WebdriverIO. Building innovative AI agents & LLM assertion frameworks
Gary Behan
Field CTO, BrowserStack
Advisor to senior leaders on automation strategy and driving impactful adoption of BrowserStack

Build MCP-Powered Workflows for the Future of QA

Connect your QA ecosystem
Learn how MCP helps unify fragmented QA workflows across Jira, Confluence, Figma, GitHub PRs, BrowserStack, and CI/CD pipelines.
Automate test creation & failure RCA
Use MCP-powered agents to generate test cases, fetch DOM context, analyze failures, and recommend fixes automatically.
Build production-ready MCP workflows
Create and configure MCP servers live using VSCode, GitHub Copilot, and BrowserStack MCP tools.
Scale from workflow to organization
Understand how modern QA teams are using MCP to reduce release risk, improve sprint velocity, and accelerate debugging at scale.
Your Key Takeaways from this Masterclass
  • Build MCP-powered QA workflows from scratch
  • Connect Jira and Confluence into intelligent test creation
  • Automate failure RCA and flaky test analysis
  • Accelerate CI/CD debugging with MCP workflows
  • Use BrowserStack MCP tools for production-ready automation
  • Debug and validate MCP servers using MCP Inspector

Your Journey to MCP-Powered Testing

Module 1

5 mins

What is MCP Server & Tools?

Understand the fundamentals of Model Context Protocol, how MCP tools differ from standard function calls, & why this protocol is changing how AI systems interact with QA workflows.

Module 2

10 mins

Why is MCP Required for QA?

Explore where today’s QA workflows break — from manual test case generation to flaky RCA and CI/CD debugging — and how MCP connects fragmented tools into one intelligent workflow.

Module 3

25 mins

MCP for Manual Test Writing & Test Automation

Watch live demos of BrowserStack MCP tools across Automate, failure analysis, and test case generation, covering real-world QA use cases.

Module 4

5 mins

Overview of BrowserStack MCP Tools

Get a guided walkthrough of BrowserStack’s complete MCP ecosystem and how each tool maps to real testing workflows.

Module 5

30 mins

MCP Server Creation & Tool Calling

Hands-on live demo of building an MCP server from scratch using VSCode, Copilot, Jira, Confluence, and Figma, followed by an end-to-end agent workflow.

Module 6

5 mins

MCP Tool Debugging

Learn how to test, inspect, and debug MCP workflows using MCP Inspector, including common failure patterns and best practices.

Module 7

8 mins

Playwright MCP Workflows

Explore practical use cases of Playwright MCP and CLI-based workflows for intelligent web automation.

Module 8

5 mins

Bonus: Mobile Automation with Test Companion

See how MCP-powered workflows extend into Appium, WDIO, iOS, Android, and BrowserStack device cloud execution.

From Fragmented QA to MCP-Powered Workflows

See what changes when you master MCP for QA workflows.

  • Highlights
The Current QA Reality
Your New MCP-Powered Workflow
Before vs After
Test Case Generation
no
Manually reading JIRA tickets, Confluence docs, and Figma designs to write test cases
yes
MCP tools automatically fetch context and generate comprehensive test cases
Test Automation
no
Manually inspecting DOM to write locators and debug failures
yes
MCP provides DOM context automatically for accurate locator generation
Failure Analysis
no
Spending hours debugging test failures and identifying root causes
yes
TFA Agent MCP tools analyze failures and suggest fixes automatically
CI/CD Pipeline Issues
no
Manually reviewing failed pipelines to find problematic dev PRs
yes
MCP analyzes pipeline failures and identifies dev PR issues instantly
Tool Integration
no
Building custom integrations from scratch for each tool
yes
Leverage BrowserStack's pre-built MCP tools for instant integration
Typical Result
no
Time-consuming manual work, slow debugging, fragmented workflows
yes
Automated context gathering, instant failure analysis, unified QA workflow

What Our Customers Have to Say

With AI-powered Visual Testing embedded in our quality pipeline, we’ve moved beyond code validation—into protecting the brand experience at scale, with precision and speed.
Zohar Liran
Director, Head of Engineering, Construction Platform, Autodesk
A test could come out true, but the screen does not look anything like you want it to look. That’s where visual testing with Percy comes in.
Ayushi Arora
SDET Lead, Nykaa
We have successfully brought down the regression time from 4 days to 1.5 days, resulting in short turnaround time on the life cycle of apps.
Vijay Selvam
Manager, Test Engineering, Swiggy
We will continue encouraging more teams to integrate automated tests with BrowserStack to increase their test coverage, reduce their feedback loops and deliver high-quality products faster.
Georgiana-Lucia Baragan
Senior Engineering Manager, Booking.com
The most major impact I have noticed is that we are able to deliver fast. We are also able to maintain the robustness and stability of our tests; the tests are more reliable now. And if anything fails, we have the video recording to go back and analyse where, when and why the test failed – is it a genuine issue or flakiness associated with our test case.
Harit Narke
Lead Software Engineer, Mastercard

Master MCP Before It Becomes Standard for QA

Learn to build MCP servers with VSCode and Copilot, integrate with BrowserStack tools, and automate your entire QA workflow.

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