These 10 tools are the fastest path from any source artifact to a runnable ContextQA test case. Each accepts a different input format and returns fully structured test cases ready to execute.
generate_tests_from_code_change
Generates targeted test cases by analyzing a git diff or pull request description. The tool identifies which user-facing flows are affected by the code change and creates regression tests for them.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
The raw git diff output or a PR description
Base URL of the application being changed
Prefix to add to generated test case names (e.g., PR-1234_)
JSON object with:
test_cases_created — number of test cases generated
changed_files — list of files identified in the diff
test_cases — array of created test case details (IDs, names, step counts)
Works best with focused diffs (one feature area per run).
For large PRs with 50+ changed files, split into smaller diff segments for more targeted tests.
analyze_test_impact • create_test_case • generate_edge_cases
generate_tests_from_jira_ticket
Reads a Jira or Azure DevOps ticket — including its description, acceptance criteria, and comments — and generates corresponding test cases.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
Ticket identifier (e.g., APP-1234, CQA-567)
include_acceptance_criteria
Whether to parse acceptance criteria into separate test scenarios (default: true)
JSON object with generated test scenarios including IDs and step previews.
The integration must be configured in ContextQA Settings → Integrations → Product Management before this tool can read ticket content.
Each acceptance criterion becomes its own test case.
generate_tests_from_linear_ticket • create_defect_ticket
generate_tests_from_linear_ticket
Creates test cases from a Linear issue. Accepts ticket fields directly — fetch the issue from the Linear MCP first, then pass the data here.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
Linear issue identifier (e.g., ENG-789)
URL of the application to test
Steps to reproduce (for bug tickets)
Actual outcome (what's wrong)
JSON object with created test case details.
Workflow with Linear MCP
generate_tests_from_jira_ticket • reproduce_from_ticket
generate_tests_from_figma
Analyzes a Figma design file to extract UI flows and generate corresponding test cases. The AI examines screen designs, interactive components, and flow connections.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
Figma file or frame URL (must be publicly accessible or shared via link)
JSON object with generated test scenarios derived from the design.
Share the specific frame or flow you want tested, not the entire file, to get the most focused results.
Works best with annotated designs that include interaction notes.
Generated tests reflect the intended design — run them against staging to verify the implementation matches the design.
generate_tests_from_requirements • create_test_case
generate_tests_from_requirements
Converts a block of plain-text requirements into automated test scenarios. Suitable for PRDs, feature specs, or user story documents.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
Raw requirements text (paste the document content directly)
JSON object with generated test scenarios mapped to requirement sections.
This generates separate test cases for: the forgot password link, the email delivery, link expiry behavior, and password complexity validation.
generate_tests_from_excel • generate_tests_from_figma
generate_tests_from_excel
Parses an Excel or CSV file containing manual test cases and converts them into automated ContextQA tests. Useful for migrating existing manual test libraries.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
Absolute local path to the .xlsx or .csv file
Specific sheet to parse (default: first sheet)
JSON object with generated test cases matched to spreadsheet rows.
The tool recognizes common test case template formats. For best results, include columns:
generate_tests_from_requirements • migrate_repo_to_contextqa
generate_tests_from_swagger
Ingests an OpenAPI/Swagger specification and generates comprehensive API contract and coverage tests.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
Local file path or URL to the OpenAPI spec (JSON or YAML)
JSON object with generated API test cases covering endpoints, methods, and response schemas.
For each endpoint discovered, the tool generates:
Happy path — valid request with expected 2xx response
Authentication failure — missing or invalid token → 401
Validation errors — missing required fields → 400/422
Not found — requests with non-existent resource IDs → 404
generate_tests_from_requirements • execute_test_suite
generate_tests_from_video
Analyzes a screen recording (.mp4, .webm) of a user performing actions in the application, and converts the observed user journey into an automated test.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
Absolute local path to the video file
Whether to use audio transcription to extract additional context (default: false)
JSON object with generated test cases derived from the video analysis.
Record at a standard browser resolution (1280×800 or 1920×1080) for best OCR accuracy.
Keep recordings under 10 minutes; longer recordings may produce overly broad test cases.
Enable extract_transcripts: true if your recording includes narration describing test intent.
generate_tests_from_requirements • create_test_case
generate_tests_from_analytics_gap
Converts a high-traffic, untested user flow identified by analyze_coverage_gaps into an automated test case.
Category: Test Generation / Analytics & Coverage Authentication required: Yes
Name
Required
Type
Description
Ordered list of analytics event names representing the user flow (from analyze_coverage_gaps output)
JSON object with the generated test case that covers the identified gap.
analyze_coverage_gaps • create_test_case
generate_edge_cases
Generates boundary and negative test scenarios for a given feature or component using AI inference. Produces test cases that typical happy-path test generation misses.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
Description of the feature or component to generate edge cases for
JSON object with edge case scenarios including:
Boundary value tests (min/max inputs)
Concurrent access scenarios
Generated edge cases include: duplicate email registration, password exactly at 8 characters, password at 7 characters (should reject), phone number with country code, special characters in email local part, etc.
generate_tests_from_requirements • create_test_case
generate_contextqa_tests_from_n8n
Generates ContextQA test cases from an n8n workflow. Tests the happy path through the workflow, triggering it and validating each node's execution result.
Category: Test Generation Authentication required: Yes
Name
Required
Type
Description
Local path to an n8n workflow JSON export, a direct JSON URL, or an n8n Cloud workflow page URL (requires N8N_API_KEY environment variable)
Base URL of the application the workflow interacts with
JSON object with status and an array of created test cases, one per workflow path.
n8n API key configuration
For n8n Cloud URLs, set the N8N_API_KEY environment variable on the MCP server before starting:
create_test_case • execute_test_suite