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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.
Validate AI outputs against contracts and auto-repair noncompliant results.
Extract, verify, cache, and search factual claims from text.
Control a browser with AI for automation, extraction, interception, and screenshots.
Run dev checks and get compact error summaries for faster debugging.
Verify AI agents, check verification status, and browse the leaderboard.