How it works

Traditional analytics show what happened. Lcontext tells your AI agent why it happened and how to fix it.

Track behavior

Add our script. We capture sessions, clicks, scroll depth, rage clicks, and more. AI summarizes patterns automatically.

Connect to your AI agent

Add Lcontext to your MCP config. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible tool.

Ask and fix

Ask "what's broken?" Your AI correlates behavior with your code and suggests fixes. Ship in minutes, not weeks.

The old way vs. the new way

Traditional workflow

PM checks Mixpanel → notices drop-off → files ticket → meeting → designer mocks → dev implements → QA → ships in 2 weeks

With Lcontext

"Why is activation down?" → AI checks behavior + code → suggests fix → implement → ship → verify

Same outcome. 20 minutes instead of 2 weeks.

What Lcontext surfaces:

"Users rage-click the submit button 3+ times before the form responds"

"Mobile users abandon checkout at shipping step - 89% don't scroll to see delivery options"

"Power users skip the dashboard entirely and navigate directly to /projects"

Context infrastructure for AI agents

AI coding assistants can read and write code. But they're blind to how users actually experience the product. Lcontext gives them eyes.

The way we build products is shifting. Roles are collapsing. Soon there won't be separate PMs, designers, developers, and QA - there will be builders who do everything end-to-end with AI agents.

Lcontext is built for that future.

Give your AI coding agent eyes on your users

One script. One MCP config. Your AI coding agent now understands how users actually experience your product.

Get Started Free

Show HN: MCP server that gives AI coding agents user behavior context

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