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Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ai-verify-mcp" yet — see the docs or source repo.
Use ai-verify-mcp to run automated browser tests on this AI-generated login page. Check input validation, button interactions, error messages, and submission flow, then return evidence and diagnostic findings.
A validation report with test steps, screenshot or log evidence, failure analysis, and fix recommendations.
Run regression tests for these AI-generated frontend changes, focusing on navigation, form submission, and key user flows. If issues appear, collect evidence and identify likely causes.
A regression test summary with key failures, browser execution evidence, and likely root-cause analysis.
Verify whether this AI-generated web prototype can complete its main task flows as expected. Execute browser actions automatically, record each step, and identify usability-impacting defects.
A readable report for product and engineering showing pass/fail flows, defect locations, and supporting evidence.
Verify AI-generated code for quality, security, and performance with more trust.
Run tests programmatically, inspect results, and get test strategy recommendations.
Extract, verify, cache, and search factual claims from text.
Run dev checks and get compact error summaries for faster debugging.
Verify AI agents, check verification status, and browse the leaderboard.
Let AI control a browser for web tasks, extraction, and testing.