Recapt

Recapt MCP

Self-Improving UX.

Connect your AI coding assistant to Recapt's behavioral intelligence. Automatically detect UX issues, propose fixes, and verify they actually worked.

Works with
CursorClaude CodeWindsurfZedVS CodeCodex CLIGitHub Copilot

A closed loop from detection to verified fix.

A complete workflow that confirms your fixes actually improved the user experience.

Detect

We find UX issues from real behavioral data such as rage clicks, dead clicks, form friction, drop-offs.

Diagnose

Root cause analysis using session recordings and element-level friction data.

Fix

Recapt proposes code changes directly in your codebase.

Track

Baseline metrics captured before your fix goes live.

Evaluate

Post-deployment comparison to baseline after 24–48 hours.

Learn

Successful fix patterns stored as site knowledge for smarter future healing.

What it looks like.

How you could be working with Recapt to improve your product.

cursor · recapt mcp
SubmitButton.tsx · proposed diff
+5 −3
// src/checkout/SubmitButton.tsx
- <button onClick={handleSubmit} disabled={loading}>
- Pay now
- </button>
+ <button
+ onClick={handleSubmit}
+ disabled={loading}
+ aria-busy={loading}
+ className="min-h-[44px]"
+ >
+ {loading ? "Processing…" : "Pay now"}
+ </button>

More than self-improving.

You can ask anything about how your users behave on your site.

Page Analysis

Health scores, friction elements, JS errors, form metrics.

What elements are causing friction on the checkout page?

Flow Analysis

User journeys, funnel conversion, drop-off points.

Where are users dropping off in the signup flow?

Session Review

Session search, triage, and detailed replay links.

Find sessions where users got frustrated on checkout.

Regression Hunting

Metric comparison across time periods, anomaly detection.

Has anything regressed since Tuesday's deployment?

Up and running in 60 seconds.

One command connects Recapt to your AI coding assistant. No config, no setup ceremony.

Your AI assistant just got a new superpower.

Connect it to real user behavior and let it fix your UX automatically.