For SDETs

Extend your automation framework with 67 MCP tools, export tests as Playwright code, manage test infrastructure via API, and let AI handle the maintenance burden so you focus on architecture.

Who is this for? Software Development Engineers in Test (SDETs), senior automation engineers, and QA engineers who write and maintain test frameworks.

You've written the frameworks, built the CI/CD integrations, and maintained the test suites. You know the real cost: every sprint brings selector rot, environment drift, and another afternoon debugging why a locator stopped working. ContextQA augments your existing expertise with AI infrastructure that handles the brittle parts — so you focus on test architecture, coverage strategy, and toolchain integration.

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What ContextQA Adds to Your Stack

Capability	Your Gain
67 MCP tools	Full platform control from Claude, Cursor, or any MCP-compatible AI agent
export_to_playwright	Export any ContextQA test as runnable Playwright TypeScript code
export_test_case_as_code	Get the raw step definitions for custom framework integration
AI self-healing	Zero selector maintenance — AI fixes broken locators above 90% confidence
Evidence API	Programmatic access to screenshots, HAR, console logs, Playwright traces
Parallel execution	Run full regression in minutes across browsers and devices
CI/CD native	REST trigger + polling pattern works with any pipeline tool

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MCP Server Integration

ContextQA exposes a Model Context Protocol server at your configured endpoint. Every platform capability is available as a tool call from any MCP-compatible AI client.

Key SDET tools:

# Create a test case from a URL + natural language description
create_test_case(
    url="https://staging.yourapp.com/checkout",
    description="Complete a purchase with a valid credit card and verify the order confirmation",
    workspace_version_id=YOUR_WORKSPACE_VERSION_ID
)

# Execute a test case and get the execution ID
execute_test_case(test_case_id=18750, workspace_version_id=YOUR_WV_ID)

# Poll for completion
get_execution_status(number_of_executions=1, test_case_id=18750)

# Get results with step-level detail
get_test_case_results(execution_id=26242)
get_test_step_results(result_id=26242)

# AI root cause analysis for failures
get_root_cause(result_id=26242)

→ MCP Server Overview | Tool Reference

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Exporting Tests as Playwright Code

Any test case created in ContextQA can be exported as Playwright TypeScript for use in your existing framework:

# Via MCP tool
export_to_playwright(test_case_id=18750)

The exported code includes:

• Page object model structure

• Resilient locator strategies (role-based + text-based + attribute fallbacks)

• Explicit wait patterns matching ContextQA's execution behavior

• Assertion calls using Playwright's expect() API

→ Exporting Reports

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CI/CD Integration Patterns

ContextQA's execution API follows an async trigger + polling pattern compatible with any CI/CD system:

GitHub Actions

- name: Trigger ContextQA Test Plan
  id: trigger
  run: |
    RESULT=$(curl -s -X GET \
      "https://server.contextqa.com/api/test-plans/$TEST_PLAN_ID/execute" \
      -H "x-api-token: ${{ secrets.CONTEXTQA_TOKEN }}")
    echo "plan_result_id=$(echo $RESULT | jq -r '.testPlanResultId')" >> $GITHUB_OUTPUT

- name: Poll for Completion
  run: |
    while true; do
      STATUS=$(curl -s \
        "https://server.contextqa.com/api/test-plan-results/${{ steps.trigger.outputs.plan_result_id }}" \
        -H "x-api-token: ${{ secrets.CONTEXTQA_TOKEN }}" | jq -r '.status')
      [ "$STATUS" = "STATUS_COMPLETED" ] && break
      sleep 15
    done

Jenkins

GitLab CI

→ GitHub Actions | Jenkins | GitLab CI

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Test Architecture Best Practices

Step Groups as Reusable Libraries

Build a SG_Auth step group containing your login flow. Reference it in every test case that requires authentication. When the login form changes, update SG_Auth once — all test cases inherit the fix automatically.

Environments for Multi-Stage Testing

Define staging, qa, and production environments with their respective base URLs and API keys. Test Plans reference an environment by name — the same plan runs against any stage without modification.

→ Environments

Knowledge Base for Application Context

Add known UI quirks to the Knowledge Base:

• "Always dismiss the cookie consent banner before interacting with the page"

• "The loading spinner takes up to 8 seconds on the checkout page"

• "Use credentials [email protected] / TestPass123 for MFA bypass in staging"

The AI reads these instructions before every execution — reducing false failures from environment-specific behavior.

→ Knowledge Base

Custom Agents for Domain Logic

Create a Custom Agent with a tailored system prompt for complex scenarios:

• A Salesforce-aware agent that understands Lightning UI navigation patterns

• An accessibility agent that verifies ARIA labels on every step

• A performance agent that flags any network request exceeding 2 seconds

→ Custom Agents

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Evidence & Debugging API

Every execution produces a queryable evidence package:

Tool	Returns
get_test_step_results	Per-step pass/fail, screenshot URL, assertion detail
get_console_logs	Browser console entries (errors, warnings, info)
get_network_logs	Full HAR network log for the execution
get_trace_url	Playwright trace viewer URL (.zip downloadable)
get_root_cause	AI classification + suggested fix + affected step number
get_ai_reasoning	Full AI reasoning chain for the execution
get_ai_insights	Pattern-based insights across multiple executions

→ Execution & Results tools

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Flaky Test Management

ContextQA automatically classifies failures across four categories:

• Test bug — the test assertion is incorrect

• Application bug — the application has a regression

• Flaky failure — the test passes on retry, likely a timing issue

• Environment issue — infrastructure or network problem

Use get_root_cause to retrieve this classification programmatically and route failures to the correct team automatically.

→ Flaky Test Detection

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Recommended next steps for SDETs:

1. MCP Server Installation — connect your AI agent in 10 minutes

2. Tool Reference — full 67-tool catalog with parameters

3. Agent Integration Guide — Claude/Cursor integration patterns

4. CI/CD integrations — drop-in pipeline configs

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See the platform from an SDET's perspective. Book a Technical Demo → — A 45-minute deep-dive into MCP tooling, API patterns, and CI/CD integration with your actual test infrastructure.

SDETs using ContextQA report 70% less time spent on test maintenance.