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Convert test cases to fixed JSON, run them, and review visual reports.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "cool-test-mcp" yet — see the docs or source repo.
Convert the following test cases into the fixed JSON format required by this MCP, run them one by one, and output a visual test report: 1) successful login; 2) wrong password error; 3) access restricted page after logout.
A normalized test case JSON, per-case execution results, and a summarized visual test report.
Run these test cases. If some results cannot be judged automatically, mark them as requiring manual review in the report and keep the related review entry or note.
Execution results with clear flags for test items that require manual review.
I have a set of text-based test steps. First convert them into the fixed JSON format, then run them case by case and generate a report.
Standardized test data plus itemized execution results and the final report.
Developers or testers can convert natural-language test cases into a fixed JSON format and then run them one by one to reduce manual test preparation work.
When teams need to review many test results quickly, this tool runs cases individually and provides a visual report to inspect passes, failures, and review-needed items.
For test items whose outcomes cannot be judged automatically, the tool supports a review flow, making it useful for semi-automated testing scenarios.
It is an automated testing MCP server that converts test cases into a fixed JSON format, runs them case by case, and outputs a visual report. It also supports manual review for cases that cannot be judged automatically.
Based on the description, it executes test cases after converting them into a fixed JSON format. The exact JSON schema is not provided here; please check the source repository.
The provided material does not include installation, runtime, or dependency details. Please check the source repository for integration steps.
Generate, manage, and export project test cases from feature descriptions.
Run tests programmatically, inspect results, and get test strategy recommendations.
Run dev checks and get compact error summaries for faster debugging.
Manage TestRail testing workflows and turn Jira tickets into test cases.
Manage TestRail cases, plans, runs, and results through AI-driven API tools.
Run golden-file, schema-drift, and failure regression tests for any MCP server.