AI-Powered Platform

AI That Makes Testing Smarter

TestKase uses AI to generate test cases from requirements, analyze quality with 15 intelligent reports, detect duplicates and flaky tests, and integrate with your AI tools via MCP.

Test Generation

Generate Test Cases from Requirements

Paste a requirement or link a Jira, GitHub, or GitLab issue — AI generates up to 10 structured test cases instantly.

Describe the feature. Get the tests.

Simply paste your requirement text or connect to your project management tool. TestKase AI analyzes the requirement and generates comprehensive, structured test cases with all the fields your QA team needs.

  • Generate from plain text requirements
  • Auto-fetch from Jira, GitHub, GitLab issues
  • Configurable fields: precondition, test data, expected result, priority
  • Powered by GPT-4o & Gemini models
  • Token-based AI credits with usage tracking
AI Test Generation
Requirement

"As a user, I want to reset my password via email so I can regain access to my account if I forget my credentials."

AI Generated
TC-001Valid password reset request
High
TC-002Reset with invalid email format
Medium
TC-003Expired reset link handling
High
AI Reports

15 AI-Powered Insight Reports

Go beyond basic charts — AI reports analyze execution patterns, predict failures, and surface quality risks.

Flaky Tests

Identify unstable tests by execution pattern analysis

Release Readiness

Composite score gauging release confidence

Risk Heatmap (Folder)

Folder-level risk visualization

Risk Heatmap (Feature)

Feature-level risk visualization

Test Case Quality

Quality scoring based on completeness

Predictive Failure

Forecast which tests are likely to fail

Tester Effectiveness

Team member performance scorecards

Stale Tests

Surface tests that haven't been maintained

Cycle Health

Multi-metric test cycle dashboard

Suite Optimization

Find redundant and overlapping tests

Execution Velocity

Track testing throughput trends

Defect Density

Defect concentration analysis

Coverage Gap

Identify untested areas

Requirement Risk

Requirements with highest failure rates

Automation ROI

Manual vs automated efficiency comparison

MCP Integration

Connect Your AI Tools via MCP

TestKase exposes a Model Context Protocol server — let Claude, Cursor, or any MCP-compatible AI agent manage your test cases directly.

AI Agent Access

Your AI assistant can create, update, and query test cases directly within TestKase.

14 Built-in Tools

Projects, test cases, folders, labels, and organization tools — all accessible via MCP.

Secure Authentication

Personal Access Tokens (PAT) for secure, scoped agent access to your workspace.

How It Works

01

Generate a PAT

Create a Personal Access Token in your TestKase settings.

02

Configure MCP Server

Add the TestKase MCP server to Claude, Cursor, or any compatible AI tool.

03

Start Managing Tests

Your AI agent can now create test cases, manage folders, and query data.

Quality Scores

Duplicate & Flakiness Scores for Every Test Case

Duplicate Detection

Every test case gets a similarity score against all others in the project. Surface duplicates instantly with percentage match.

  • Automatic scoring on every test case
  • Top 3 closest matches shown
  • Similarity percentage for quick triage

Flakiness Analysis

Analyzes execution history to detect unstable tests. Tracks status flips across all test cycles to surface unreliable tests.

  • Flip-based scoring (0–100%)
  • Last 10 execution history analyzed
  • Identifies unreliable tests instantly
Even More AI

This Is Just the Beginning

We're continuously expanding TestKase's AI capabilities. Here's a glimpse of what's on the horizon.

AI-Suggested Test Steps
Smart Test Summaries
Auto-Tagging & Labeling
Regression Impact Analysis
AI Dashboard Insights
Natural Language Queries
Smart Test Organization
And Much More Coming...

Start Testing for Free

Sign up instantly and begin using TestKase with all core features, completely free for up to 3 users.

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