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Run local tests, analyze failures, and automate QA workflows with AI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TestPilot MCP" yet — see the docs or source repo.
Run the local tests for the current project, summarize failing cases, identify the most likely root causes, and provide prioritized fix recommendations.
A failure summary with root-cause analysis, impact assessment, and prioritized fix recommendations.
Using the previous test results, rerun only the failed UI and API test cases and compare the differences before and after rerun.
A rerun report listing recovered tests, still-failing cases, and any newly detected anomalies.
Orchestrate a QA regression workflow for this release: run core API tests first, then key UI tests, and finally output the test conclusion and release risks.
A structured regression execution report with stage status, overall conclusion, and release risk notes.
Automate QA with generated scenarios, Playwright tests, execution, and GitHub bug reports.
Run reusable Playwright tests on live deployments with screenshots and structured results.
Read Jira and Confluence to generate QA artifacts and coverage analysis.
Run dev checks and get compact error summaries for faster debugging.
Use GitHub Copilot CLI via MCP for resumable coding conversations and tasks.
Automate web app testing across functionality, performance, accessibility, and SEO.