QA Copilot AI

QA Copilot AI

MCP server for AI-powered QA analysis. It enables analyzing test failures, identifying root causes, suggesting fixes, classifying defects, detecting flaky tests, and generating test cases and bug reports.

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šŸ¤– QA Copilot AI

Architecture

An AI-powered QA Assistant that helps QA engineers analyze test failures, identify root causes, generate fixes, classify defects, detect flaky tests, and automate testing activities using MCP, TypeScript, and Large Language Models.


šŸš€ Project Overview

Modern QA teams spend significant time analyzing failed automation tests, debugging errors, writing bug reports, and identifying flaky tests.

QA Copilot AI is an AI-assisted testing platform designed to reduce debugging effort by combining:

  • Model Context Protocol (MCP)
  • Large Language Models (Groq LLM)
  • Playwright automation data
  • REST APIs
  • TypeScript backend services

The system allows QA engineers to provide test reports and receive AI-generated insights such as:

  • Root cause analysis
  • Failure classification
  • Suggested fixes
  • Test improvement recommendations
  • Automated QA artifacts

šŸŽÆ Problem Statement

Automation failures often require manual investigation:

āŒ Reading long stack traces āŒ Finding root causes āŒ Identifying flaky tests āŒ Writing defect reports āŒ Creating repetitive test cases

QA Copilot AI solves this by acting as an intelligent testing assistant.


✨ Features

AI-Powered QA Analysis

āœ… Failure Analysis āœ… Test Report Analysis āœ… Root Cause Identification āœ… Fix Suggestions āœ… Failure Classification āœ… Flaky Test Detection

Test Automation Assistance

āœ… API Test Generator āœ… Test Case Generator āœ… Playwright Script Generator āœ… Bug Report Generator

Engineering Features

āœ… MCP Server Implementation āœ… REST API using Express.js āœ… Modular TypeScript Architecture āœ… Environment Configuration āœ… Error Handling āœ… Logging Utilities


šŸ— System Architecture

Architecture

Workflow:

QA Engineer
     |
     |
Test Reports / Logs
     |
     v
QA Copilot API
     |
     v
MCP Server
     |
     |
-----------------------------
|      |        |            |
Failure Report  Fix     Flaky
Analyzer Analyzer Suggest Detector

     |
     v

Groq Large Language Model

     |
     v

AI Generated QA Insights

šŸ›  Tech Stack

Category Technology
Language TypeScript
Runtime Node.js
Backend Express.js
AI Model Groq LLM
Protocol Model Context Protocol
Automation Playwright
Package Manager npm
Configuration dotenv

šŸ“ Project Structure

QA-Copilot-AI

src/
 ā”œā”€ā”€ ai/
 │    └── promptTemplates.ts
 |
 ā”œā”€ā”€ api/
 |
 ā”œā”€ā”€ mcp-server/
 |
 ā”œā”€ā”€ tools/
 |
 ā”œā”€ā”€ services/
 |
 ā”œā”€ā”€ config/
 |
 └── utils/

docs/
 ā”œā”€ā”€ architecture.png
 └── architecture.md

screenshots/

package.json
README.md

āš™ Installation

Clone repository:

git clone https://github.com/Sham-coder16/qa-copilot-ai.git

Navigate:

cd qa-copilot-ai

Install dependencies:

npm install

šŸ”‘ Environment Setup

Create .env

GROQ_API_KEY=your_api_key
PORT=3000

ā–¶ Running Application

Start MCP Server

npm run mcp

Expected:

MCP SERVER STARTED
Tools Registered Successfully

Start API Server

npm run api

Expected:

API Server running on port 3000

Run Test Client

npx tsx src/test-client.ts

šŸ”§ MCP Tools

Available tools:

Tool Purpose
Failure Analyzer Analyze failed tests
Report Analyzer Analyze execution reports
Suggest Fix Generate solutions
Failure Classification Categorize failures
Flaky Detector Detect unstable tests
Test Generator Generate automation tests
Bug Generator Create defect reports

šŸ“” REST API Example

Endpoint:

POST /analyze

Request:

{
 "failure": "Login test failed due to timeout"
}

Response:

{
 "category":"Automation Failure",
 "rootCause":"Element loading issue",
 "suggestion":"Increase explicit wait"
}

šŸ“ø Screenshots

šŸ“ø Project Screenshots

MCP Server Running

MCP Server

API Server Running

API Running

AI Failure Analysis

Failure Analysis

Bug Report Generation

Bug Report

Test Case Generation

Test Case Generator

šŸ”„ Future Enhancements

  • Docker Support
  • GitHub Actions CI/CD
  • Jenkins Pipeline Integration
  • Database Storage
  • Web Dashboard
  • Multiple LLM Provider Support
  • Playwright HTML Report Integration

šŸ’” Skills Demonstrated

  • QA Automation
  • Playwright Testing
  • TypeScript Development
  • Node.js Backend
  • REST API Development
  • AI Integration
  • Prompt Engineering
  • MCP Architecture
  • LLM Testing Concepts
  • GitHub Project Management

šŸ‘©ā€šŸ’» Author

Shamli Kadukar

GitHub:

https://github.com/Sham-coder16


⭐ If this project helped you understand AI-powered QA automation, consider starring the repository.

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