Lcontext

<script src="https://lcontext.com/it.js?iTag=YOUR_SITE_TAG" defer></script>

- Page views- URL, title, referrer
- Clicks- Buttons, links, interactive elements (label text only, no personal data)
- Form submissions- Form metadata (no field values captured)
- Scroll depth- How far users scroll (25% increments)
- Device metadata- Screen size, browser language, viewport

Privacy-focused:No passwords, input values, or personal information collected. ~4KB minified.

Associate the anonymous visitor with your application's user ID:

lcontext('setProfileId', 'user-123');

lcontext('trackEvent', 'purchase', { productId: 'abc', amount: 99.99 });

claude mcp add lcontext -s user -e LCONTEXT_API_KEY=your-api-key -- npx -y lcontext-mcp@latest

After clicking, replaceyour-api-key-herewith your actual API key in Cursor settings.

curl -fsSL https://lcontext.com/api/cli/install | bash

Then open Cursor Settings (Cmd/Ctrl + Shift + J), and add the server:

{ "lcontext": { "command": "lcontext", "env": { "LCONTEXT_API_KEY": "your-api-key-here" } } }

curl -fsSL https://lcontext.com/api/cli/install | bash

Then open Windsurf and navigate toCascade > Configure > MCP Servers(or click the hammer icon), then click "Add Server" and select "Add custom server". Add this configuration:

{ "lcontext": { "command": "lcontext", "env": { "LCONTEXT_API_KEY": "your-api-key-here" } } }

curl -fsSL https://lcontext.com/api/cli/install | bash

- Open Cline settings (click gear icon in Cline panel)
- Navigate toMCP Serverssection
- Add a new server:

{ "lcontext": { "command": "lcontext", "env": { "LCONTEXT_API_KEY": "your-api-key-here" } } }

curl -fsSL https://lcontext.com/api/cli/install | bash

Lcontext works with any tool that supports the Model Context Protocol. The general configuration pattern is:

- Command:lcontext
- Environment Variable:LCONTEXT_API_KEY=your-api-key-here

Refer to your tool's documentation for MCP server configuration.

The install script used above (curl -fsSL https://lcontext.com/api/cli/install | bash) is the recommended approach. If you need an alternative:

git clone https://github.com/lcontext/lcontext.git cd lcontext npm install npm run build

Get comprehensive analytics context for a page including stats, visitor metrics, Web Vitals (LCP, FCP, FID, CLS), and all interactive elements with their engagement data.

- path(required): The page path (e.g.,/products,/checkout)
- startDate(optional): Start date for stats (ISO format)
- endDate(optional): End date for stats (ISO format)
- periodType(optional):dayorweek(default:day)

Get the analytics context for the /checkout page for the last 7 days

- limit(optional): Maximum pages to return (default: 50, max: 200)
- search(optional): Filter by path (e.g.,/product)

Get detailed analytics for a specific interactive element by its label or ID.

- elementLabel(optional): Element's label text or aria-label
- elementId(optional): Element's HTML ID
- pagePath(optional): Filter by page path

Show me analytics for the "Add to Cart" button

Get application-wide analytics including sessions, visitors, page views, engagement metrics, device breakdown (mobile/tablet/desktop), top browsers, top OS, Web Vitals (LCP, FCP, FID, CLS), and AI-generated insights.

- periodType(optional):dayorweek(default:day)
- limit(optional): Number of periods to return (default: 7, max: 30)

Give me an overview of my app's behavioral analytics for the last week

Get a list of visitors with AI-generated profiles, interests, engagement trends, segment assignments, device info (type, browser, OS), and location (city, region, country).

- limit(optional): Maximum visitors to return (default: 20, max: 100)
- offset(optional): Offset for pagination
- segmentId(optional): Filter by segment ID
- search(optional): Search in visitor ID, title, summary, interests, goals, action, evidence
- firstVisitAfter(optional): Filter by first visit date (ISO format)
- firstVisitBefore(optional): Filter by first visit date (ISO format)
- lastVisitAfter(optional): Filter by last visit date (ISO format)
- lastVisitBefore(optional): Filter by last visit date (ISO format)
- engagementTrend(optional):increasing,stable, ordecreasing
- overallSentiment(optional):positive,negative,neutral, ormixed

Show me visitors with increasing engagement trend

Get detailed profile and recent sessions for a specific visitor, including device info (type, browser, OS) and location.

- visitorId(required): The visitor's unique identifier

Get a list of user sessions with AI-generated summaries, titles, sentiment analysis, and device type.

- limit(optional): Maximum sessions to return (default: 20, max: 100)
- offset(optional): Offset for pagination
- visitorId(optional): Filter by visitor ID
- sentiment(optional):positive,negative, orneutral
- startDate(optional): Start date for filtering (ISO format)
- endDate(optional): End date for filtering (ISO format)
- search(optional): Search in session title and description
- minDuration(optional): Minimum session duration in seconds
- maxDuration(optional): Maximum session duration in seconds
- minEventsCount(optional): Minimum number of events
- maxEventsCount(optional): Maximum number of events
- pagePath(optional): Filter sessions that visited a specific page path

Show me negative sentiment sessions from the last 24 hours

Get detailed information about a specific session including full event timeline, visitor context, device type, and location (city, region, country).

- sessionId(required): The session's numeric ID

Get automatically detected user journey patterns showing how users navigate through the application. Each flow represents a common page sequence with engagement metrics and drop-off points.

- limit(optional): Maximum flows to return (default: 10, max: 50)
- category(optional): Filter by category:conversion,exploration,onboarding,support,engagement,other
- minSessions(optional): Minimum session count for a flow to be included
- periodType(optional):dayfor daily flows,weekfor weekly aggregated flows

Show me the most common user journeys on my app

Get a pre-computed daily or weekly analysis report. Contains problem areas, funnel health, session findings, and prioritized recommendations — all referencing specific page paths, element IDs, and session IDs you can investigate with other tools.

- periodType(optional):dayfor daily report (default),weekfor weekly report
- date(optional): ISO date string for the period start (e.g.,2026-02-23). Defaults to most recent completed analysis.

Get the latest daily analysis for my app

A comprehensive guide for analyzing user behavior data with Lcontext tools. Includes step-by-step analysis workflows, decision trees for common scenarios (e.g., "this page isn't converting", "performance feels slow"), and a reference table connecting analytics findings to code investigations.

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