Connect Claude, ChatGPT, or Cursor directly to the ContextQA test automation engine. Describe what you want to test, ContextQA handles everything else.










An AI-native interface that connects Claude, ChatGPT, or Cursor directly to our platform. Describe your intent in plain English, and MCP maps it to the right actions automatically.
It chains API calls, handles multiple data sources, and delivers results without switching tools. One prompt can trigger 10 to 20 actions behind the scenes, so you stay focused on building while ContextQA handles the testing.
Type a prompt; MCP interprets your intent and sequences the right platform actions, no individual steps required.
Plain English inside Claude, ChatGPT, or Cursor.
Your prompt becomes the right sequence of platform actions.
Generation, suite setup, execution, and reporting, all hands-off.
Back to your AI, optionally pushed to JIRA, Slack, or GitHub.
Five workflows that used to take hours, tabs, and handoffs. Now they run from a single prompt.

Pull requirements from JIRA, Linear, PDF, Excel, or a URL. ContextQA MCP handles multiple formats simultaneously, which the standard UI cannot do.

Trigger execution, monitor results, and receive a full summary, all from within Claude or your preferred AI interface. No need to open the ContextQA platform.

Create a test case, build a suite, execute it, and push results to Slack, GitHub, or JIRA in one flow. MCP sequences the entire workflow automatically based on your intent.

Provide a ticket reference and MCP will reproduce the bug, work with Claude Code to fix it, verify the fix, and confirm no surrounding tests have broken, then report back automatically.

Go beyond positive and negative test cases. Ask MCP to generate security, performance, or accessibility scenarios, test types that require additional prompting in the standard UI.
I've spent years building tests in Playwright and Cypress. ContextQA MCP is the first setup where I can go from a Jira ticket to a verified suite without ever leaving Claude. It's not just automation, it's how testing should feel.
Both run on the same engine and support web, mobile, and API testing. MCP removes the friction for teams already working in AI-assisted development.
| Feature | Web UI | ContextQA MCP | Why it matters |
|---|---|---|---|
| Interface style | Guided, wizard-based | Conversational, prompt-based | No context switching |
| Multi-source input | Single file at a time | Multiple formats at once | JIRA + PDF + Excel in one prompt |
| Workflow automation | Step by step | End-to-end in one prompt | 10 to 20 actions per command |
| Test type range | Positive & negative | Security, performance, a11y | Broader coverage, no extra config |
| IDE integration | No | Inside Claude and Cursor | Zero platform switching |
| Target user | Manual testers | Devs, automation engineers, PMs | Meets users where they work |
Playwright is a powerful execution framework, but it stops at execution. ContextQA MCP goes further across the full testing lifecycle.
Generates intelligent test cases from your actual requirements, not just scripts you write yourself.
Executes against your real application, not a mocked layer.
Auto-corrects minor input discrepancies before they cause false failures.
Analyses results and surfaces structured reports your team can act on.
Run tests without switching context, inside Claude, Cursor, or any MCP-compatible assistant.
Move faster with existing coding experience, no platform UI to navigate.
Validate a user story or acceptance criteria quickly, without a QA handoff.
Integrate testing into CI/CD, JIRA, Linear, Slack, and GitHub at scale.
Takes about a minute to connect. After that, just start prompting.
Integrate ContextQA MCP with your Claude, Cursor, or any AI environment using the setup guide in the MCP documentation.
Tell it what you want to test. ContextQA generates test cases, executes them, and reports results automatically.
What you test
Catch hallucinations and drift before users do
SAP, Oracle, Workday & custom ERP
Browser automation across every engine
Native iOS and Android coverage
REST and GraphQL validation
CRM workflow automation
Enterprise application coverage
See what a code change breaks before merge
How you test
Plan, track, and manage every test
Tests repair themselves as code shifts
Pinpoint why a test broke, instantly
Catch unintended UI change
Load and stress at scale
Always-on across every release
Platform & AI
Parallel cloud grid, every browser and device
One prompt drives 50 testing tools
Test assets and code export
Real user intelligence and analytics
Connect Jenkins, Jira, CI/CD
IBM, Coforge, Red Hat
Analyze End-To-End Tests
Platform & AI
Not three tools.
Specialized testing
Data validation and integrity
Vulnerability detection
Speed and WCAG compliance
Inbox and workflow validation
By industry
Sector-specific testing
Prioritize by impact
Test voicebots and IVR
Testing for AI-native SaaS
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