A practical project series for learning MCP, Agentic AI, and AI-powered QA automation.
This series is designed for QA Engineers, Manual Testers, Automation Testers, SDETs, QA Leads, and Test Architects who want to understand how MCP can be used in real-world testing workflows.
| Project | Description | Status |
|---|---|---|
| qa-mcp-testcase-generator | Generate test scenarios, test cases, RTM, risks, and test data using Filesystem MCP | Done |
| qa-jira-mcp-agent | Read Jira stories and generate QA artifacts | Done |
| qa-browser-mcp-agent | AI-guided exploratory testing using browser automation | Done |
| qa-database-mcp-agent | Database validation and ETL testing agent | Planned |
| qa-sprint-agent | Complete sprint-level QA agent | Planned |
| qa-playwright-mcp | Playwright-based MCP testing workflow | Planned |
| qa-agent-framework | Reusable framework for QA agents | Planned |
- Understand MCP architecture
- Build a Filesystem MCP Server
- Generate QA artifacts using AI
- Connect MCP with Jira
- Build browser and database agents
- Create a complete QA Sprint Agent
Neelam Pal
QA Architect | AI in Testing | MCP | Agentic AI | Quality Engineering