Introducing ContextQA MCP

Test smarter. Ship faster. No context switching.

ContextQA MCP connects your AI assistant directly to our test automation engine. Generate tests, execute suites, analyze results, and push reports to JIRA, Slack, or GitHub from a single prompt without leaving your IDE. Describe what you want to test. ContextQA handles everything else.

What is ContextQA MCP?

ContextQA MCP is an AI-native interface that connects Claude, ChatGPT, or Cursor directly to our platform. Describe your intent in plain English. MCP maps it to the right actions automatically - chaining API calls, handling multiple data sources, and delivering results without switching tools.

One prompt can trigger 10-20 actions behind the scenes. You stay focused on building. ContextQA handles the testing.

How it works

From prompt to production, automatically.

ContextQA MCP acts as an intelligent orchestration layer between your AI assistant and the ContextQA platform. When you type a prompt, MCP interprets your intent and automatically sequences the right platform actions, without you needing to specify individual steps.

1

Type a prompt

Plain English inside Claude, ChatGPT, or Cursor.

2

MCP maps intent

Your prompt is translated into the right sequence of platform actions.

3

Actions execute

Test generation, suite setup, execution, and reporting, all hands-off.

4

Results delivered

Back to your AI, optionally pushed to JIRA, Slack, or GitHub.

Capabilities

What you can do with ContextQA MCP

Five workflows that used to take hours, tabs, and handoffs. Now they run from a single prompt.

01

Generate test cases from any source

JIRA
PDF
Figma
Excel
Linear
Swagger
ContextQA MCP
Generated 14 tests · 5 edge cases

Pull requirements from JIRA, Linear, PDF, Excel, or URL. Generate test cases in seconds. ContextQA MCP handles multiple formats simultaneously - something the standard UI cannot do.

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02

Execute and report without leaving your IDE

CClaude
mcp

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

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03

Run end-to-end workflows with a single command

Create test casefrom BILL-423 JIRA ticket
Build test suitecheckout-regression
Execute suite14 tests · parallel run
Push resultsSlack #qa + GitHub PR

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

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04

Fix bugs faster with AI-assisted reproduction

Stage 1
Reproduce
BILL-423 · guest checkout
Stage 2
Investigate
CartItem.tsx:42
Stage 3
Fix
null check applied
Stage 4
Verify
47 tests stay green
Bug fixed · no regressions

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.

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05

Generate security, performance, and accessibility tests

Test types · generated from one prompt main
Positive
happy-path flows
Negative
error states
Security
OWASP top 10
Performance
load + latency
Accessibility
WCAG 2.1 AA
Mobile
responsive + native
Generating test types...
0 / 6

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.

Browse prompt library

"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."

KB
Kerri Barton
Head of Engineering
Skillibrium
Comparison

ContextQA MCP vs. ContextQA Web UI

Both options run on the same ContextQA engine and support web, mobile, and API testing. MCP removes the friction for teams already working in AI-assisted development environments.

Feature Web UI ContextQA MCP Why it matters
Interface styleGuided, wizard-basedConversational, prompt-basedNo context switching required
Multi-source file inputSingle file at a timeMultiple formats simultaneouslyJIRA + PDF + Excel in one prompt
Workflow automationStep by stepFull end-to-end in one prompt10 to 20 actions from a single command
Test type rangePositive & negativeSecurity, performance, accessibilityBroader coverage without extra config
IDE integrationNoYes, works inside Claude and CursorZero platform switching for developers
Execution speedStandardDirect, faster executionRuns tests without opening the UI
Target userManual / semi-manual testersDevs, automation engineers, PMsMeets users where they already work
Swipe to see full table
Differentiation

Why ContextQA MCP, not just Playwright MCP?

Playwright is a powerful open-source test execution framework. But it stops at execution. ContextQA MCP goes further across the full testing lifecycle.

Generates intelligent test cases directly from your actual requirements, not just scripts you write yourself.

Executes tests against your real application environment, 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.

Understands your application context, not just how to run a script.

The execution layer ContextQA also handles what Claude alone cannot. While Claude can write tests, ContextQA's engine runs them against real application behaviour, validates outcomes, and logs everything in a structured, auditable format.
Who it's for

Built for the way modern teams actually work.

Developers

Don't want to switch context to run tests. MCP lives inside the tools you already use, Claude, Cursor, or any MCP-compatible AI assistant.

Automation engineers

With existing coding experience who want to move faster without navigating a platform UI.

Product managers

Need to quickly validate a user story or acceptance criteria without involving a QA team.

Enterprise QA teams

Working at scale who need to integrate testing into CI/CD pipelines, JIRA, Linear, Slack, and GitHub seamlessly.

50+
MCP tools across 9 categories
8
Test sources (JIRA, Figma, Swagger, PDF, Excel, video, n8n, code diffs)
20+
Platform actions triggered from a single prompt
FAQ

Frequently asked questions

ContextQA MCP (Model Context Protocol) is an integration layer that connects AI assistants like Claude and ChatGPT directly to the ContextQA test automation platform. It lets developers generate test cases, run test suites, and push results to JIRA or Slack using plain-English prompts, without opening the ContextQA UI.
The ContextQA web UI is a guided, wizard-based interface suited to manual and semi-manual testers. ContextQA MCP is a conversational interface designed for developers and automation engineers. MCP supports multi-source file handling, full end-to-end workflow automation in a single prompt, and direct integration inside Claude, ChatGPT, or Cursor, no platform navigation required.
Yes. ContextQA MCP integrates directly with Claude as a connected MCP server. Once set up, you can generate test cases, trigger test runs, and receive reports by typing plain-English prompts inside Claude, without switching to the ContextQA platform.
Yes. ContextQA MCP supports test type generation beyond positive and negative scenarios. You can prompt it to generate security, performance, and accessibility test cases, types that require additional configuration in the standard ContextQA web UI.
ContextQA MCP can generate test cases from JIRA tickets, Linear issues, PDFs, Excel files, URLs, Figma designs, Swagger specs, code diffs, and other structured sources. It handles multiple file formats simultaneously in a single prompt, a capability not available in the standard web UI.
Yes. ContextQA MCP works with any MCP-compatible AI environment, including Cursor. This means your AI coding assistant can generate and execute tests without leaving your development environment.
Playwright MCP handles test execution using the Playwright framework. ContextQA MCP goes further, it generates intelligent test cases from your requirements, executes them against your real application environment, auto-corrects input discrepancies, analyses results, and delivers structured reports. ContextQA also understands your application context, not just how to run a script.
Getting started takes two steps: (1) Connect, integrate ContextQA MCP with your Claude or AI environment using the setup guide in the MCP documentation. (2) Prompt, describe what you want to test in plain English. ContextQA handles test case generation, execution, and reporting from there.
Get started

Get started in two steps.

Takes about a minute to connect. After that, just start prompting.

1

Connect

Integrate ContextQA MCP with your Claude, Cursor, or any AI environment using the setup guide in the MCP documentation.

2

Prompt

Tell it what you want to test. ContextQA generates test cases, executes them, and reports results automatically.