ContextQA Documentation
ContextQA documentation — complete reference for AI-powered test automation, the MCP server, integrations, and platform administration.
ContextQA is an AI-powered test automation platform that creates, executes, and maintains browser, mobile, API, and Salesforce tests without requiring test code. The AI agent interprets natural language test steps, locates UI elements using visual AI and DOM analysis, and self-heals broken tests when an application changes.
ContextQA: An AI-powered test automation platform that executes test cases written in natural language against web, mobile, API, and Salesforce applications, producing full evidence packages (screenshots, video, HAR logs, Playwright traces) for every run.
70% less human effort · 10× faster execution · Zero selector maintenance Book a Demo → — See ContextQA with your application in 30 minutes.
What ContextQA Does
ContextQA executes every test through an AI pipeline that handles navigation, element interaction, evidence capture, and self-healing automatically. Tests run on real browsers — Chromium, Firefox, and WebKit.
Key capabilities:
AI test generation — create test cases from a URL, Jira ticket, Figma design, OpenAPI spec, video recording, or plain-text requirements
Natural language execution — steps written in plain English execute as full browser interactions
Self-healing — when a UI element moves or changes, the AI finds the new location automatically
MCP server — 67 tools for AI agents (Claude, Cursor, VS Code Copilot) to create, execute, and analyze tests programmatically
17 integrations — Jira, Slack, GitHub Actions, Azure DevOps, Linear, Trello, Teams, and more
Start by Role
Write tests in plain English, run on real browsers, get video evidence. No code required.
67 MCP tools, Playwright export, CI/CD API, full evidence access. Your automation superpowers.
Test plans, analytics dashboard, flaky detection, shareable reports. Release confidence, quantified.
Generate tests from Jira tickets, PR quality gates, AI root cause in your terminal.
Turn your acceptance criteria into automated tests. Track feature coverage. Know before you ship.
Parallel CI gates, SSO, team metrics, and AI that eliminates test maintenance toil.
The ROI, build-vs-buy analysis, and enterprise architecture for AI test automation at scale.
Documentation Sections
New to ContextQA? Start here. Covers platform overview, a 5-minute quickstart, core concepts, and the AI pipeline architecture.
Create and run automated tests for web applications. Covers test case authoring, the step editor, test suites, data management, and self-healing.
Automate iOS and Android app testing. Covers device setup, app uploads, gesture authoring, and multi-device test plans.
Test REST APIs with assertions and request chaining. Covers request configuration, response validation, and multi-step API flows.
Automate Salesforce Lightning UI testing. Covers AI-assisted test generation, metadata-aware execution, and parallel test plans.
Run tests manually, on a schedule, or from CI/CD. Covers parallel execution, environments, scheduling, and evidence capture.
Analyze test results and diagnose failures. Covers execution reports, the analytics dashboard, AI root cause analysis, and flaky test detection.
The AI capabilities that power ContextQA. Covers test generation sources, the autonomous agent pipeline, knowledge bases, and custom agents.
Connect ContextQA to your existing toolchain. Covers Jira, Slack, GitHub Actions, Jenkins, GitLab CI, CircleCI, Azure DevOps, and webhooks. ContextQA supports 17 integrations across bug tracking, project management, CI/CD, and notifications.
Use ContextQA from AI agents via the Model Context Protocol. Covers installation, authentication, 67 tool references, and agent workflow patterns.
Manage users, roles, SSO, and workspace settings.
Glossary, changelog, and keyboard shortcuts.
Quick Links
Create my first test
Generate a test from a Jira ticket
Run tests in a CI/CD pipeline
Use ContextQA from Claude or Cursor
Understand why a test failed
Set up the platform for my team
Look up a tool in the MCP API
Understand what "self-healing" means
Platform Requirements
Supported browsers
Chromium, Firefox, WebKit (Safari)
Mobile platforms
iOS 14+, Android (API level 21+)
MCP server Python version
3.9+
MCP server default port
8080
Deployment options
Local (uv), Docker, Google Cloud Run
Need Help?
Search these docs using the search bar above
Check the Glossary for term definitions
Not sure where to start? Browse by Role
Want a guided tour? Book a Demo → — Our team will walk through ContextQA with your actual application and testing goals. Most teams are running their first tests within 24 hours of the demo.
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