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Run read-only checks on MCP servers and return an A-F evaluation report.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Agent QA" yet — see the docs or source repo.
Run a read-only quality check on this MCP server. Evaluate endpoint availability, configuration completeness, permission boundaries, and common risks, then return an A-F grade with improvement suggestions.
A structured evaluation report with check results, overall grade, key issues, and optimization recommendations.
Check these MCP servers individually, score them on stability, configuration quality, and security, then provide a side-by-side comparison and remediation priority order.
A comparison report covering each server’s grade, dimension scores, differences, and remediation priorities.
This MCP server previously received a C. Run the read-only checks again and explain the deductions, potential impact, and what would raise the grade to A or B.
A diagnostic report explaining the low score, affected areas, and actionable fixes to improve the grade.
Evaluate AI agent outputs for CI gates, regressions, and canary promotions.
Test API compatibility for AI agents with scores, grades, and recommendations.
Run automated QA tests across web apps, APIs, and CLI tools.
Run browser-based web app QA tests with Playwright and generate reports.
Run local QA checks for APIs, test cases, errors, and SLA evaluation.
Break down QA tasks into steps with confidence-scored tool recommendations.