Semilattice▌

by docs

Semilattice: Predict audiences and run AB testing with simulated user data to optimize content and personalize UX—faster

Audience prediction and A/B testing with simulated user data for content testing and UX personalization

github stars

★ —

Website

Uses simulated data for rapid testingNo real user data required

best for

/ UX designers validating interface changes
/ Content creators optimizing messaging
/ Product managers testing feature variations
/ Marketing teams personalizing campaigns

capabilities

/ Generate simulated user behavior data
/ Run A/B tests on content variations
/ Predict audience responses to different content
/ Analyze user engagement patterns
/ Test UX personalization strategies

what it does

Predicts how different audiences will respond to content and runs A/B tests using simulated user behavior data.

about

Semilattice is an official MCP server published by docs that provides AI assistants with tools and capabilities via the Model Context Protocol. Semilattice: Predict audiences and run AB testing with simulated user data to optimize content and personalize UX—faster

how to install

You can install Semilattice in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Semilattice is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.