Where exactly are you using MCP Servers in your companies and how do you think, its going to improve your daily QA activity improvements ?

MCP servers are used as a bridge between LLMs and QA tools like Jira, Jenkins, and TestRail, enabling AI to directly fetch logs, check builds, and log defects. This improves daily QA by automating routine checks, speeding up root-cause analysis, and reducing manual effort in defect tracking and reporting.

Requirement Analysis and Understanding 

Create Automation 

Not yet using MCP Servers

I am using MCP from tools like JIRA, Github from user story and source code context perspective. And also as a part of QA where validation happening in Kibana, Splunk, Looker - in process to explore MCP from these. This is really a start I can say, but see a lot of value using MCP to have private context.

Go through requirement and give generate testcase document

MCP = Model Context Protocol servers – middleware layer that connects AI models/tools with company data and workflows.

Test Automation Frameworks, i am using it for Automation of Mobile, Web and Desk app.

I have created MCP to make a bridge in between the Cursor AI and Android studio or Playwrite tool to make automation.

Using MCP Server with Playwright  for testing  and also for Testcase Creation 

Current Automation Framework for Speeding up Automation process and general QA process to speed up

For requirement analysis, build manual test scenarios and use cases, and then automation test cases and suites.

MCP servers are used to connect AI with company tools like Jira, TestRail, GitHub, CI/CD, and monitoring systems.

For QA, they improve daily activities by quickly pulling test logs/bug data for root cause analysis, suggesting new test cases based on recent defects, Prioritizing high-impact bugs, auto-generating test reports.