Designlang is a powerful tool designed to extract complete design systems from any live URL using a headless browser. It goes beyond simple color picking by analyzing layout architectures, responsive behaviors across breakpoints, interaction states like hover and focus, and motion languages such as easing and spring physics. The tool generates over 17 different file types including W3C DTCG tokens, Tailwind configurations, shadcn themes, Figma variables, and typed React component stubs to bridge the gap between live websites and development environments.
Key features include:
- Automated extraction of design tokens (primitive, semantic, and composite layers)
- Responsive analysis across multiple viewports
- Interaction state capture for hover, focus, and active transitions
- WCAG accessibility scoring with color remediation suggestions
- Multi-platform support for iOS, Android, Flutter, and WordPress
- Integration as an MCP server for AI coding agents like Cursor and Claude Code
- Design drift detection and visual diffing capabilities
Key features include:
- Automated extraction of design tokens (primitive, semantic, and composite layers)
- Responsive analysis across multiple viewports
- Interaction state capture for hover, focus, and active transitions
- WCAG accessibility scoring with color remediation suggestions
- Multi-platform support for iOS, Android, Flutter, and WordPress
- Integration as an MCP server for AI coding agents like Cursor and Claude Code
- Design drift detection and visual diffing capabilities
Context7 is a platform designed to provide up-to-date, version-specific code documentation and examples directly into the context of Large Language Models (LLMs) and AI coding assistants. It solves the problem of LLMs using outdated training data or hallucinating non-existent APIs by fetching real-time information from official sources.
The platform operates in two primary modes: a CLI with Skills for guiding agents via commands, and an MCP server that allows agents to call documentation tools natively. Users can specify exact library IDs and versions within their prompts to ensure high accuracy.
Key features include:
- Real-time retrieval of version-specific documentation.
- Support for MCP (Model Context Protocol) clients.
- CLI commands for searching libraries and retrieving docs.
- Integration with popular AI agents like Cursor, Claude Code, and others.
The platform operates in two primary modes: a CLI with Skills for guiding agents via commands, and an MCP server that allows agents to call documentation tools natively. Users can specify exact library IDs and versions within their prompts to ensure high accuracy.
Key features include:
- Real-time retrieval of version-specific documentation.
- Support for MCP (Model Context Protocol) clients.
- CLI commands for searching libraries and retrieving docs.
- Integration with popular AI agents like Cursor, Claude Code, and others.
