Anima

Converts Figma design files into production-ready React component code by parsing the Figma design hierarchy (layers, components, constraints, styling) and using an LLM to generate semantically correct component structures with props, state hooks, and responsive layouts. The system detects Figma component definitions and maps them to React functional components with proper composition patterns.

Generates Vue 3 single-file components (.vue) from Figma designs with automatic responsive breakpoint detection and Tailwind CSS or scoped styling. The system analyzes Figma artboards and frame sizes to infer breakpoint boundaries, then generates Vue components with computed properties and reactive data bindings for responsive behavior.

Implements a Model Context Protocol server that allows AI agents and LLM-based tools to invoke Anima's code generation capabilities as a native tool. Agents can request code generation, design analysis, and code refinement through MCP protocol, enabling seamless integration with AI agent frameworks and multi-tool orchestration platforms.

Automatically analyzes Figma artboards or design variations to detect responsive breakpoints and generates code with media queries or responsive frameworks (Tailwind, CSS Grid) that adapt to multiple screen sizes. The system infers breakpoint boundaries from artboard dimensions and generates responsive layouts without manual breakpoint specification.

Converts uploaded images (screenshots, mockups, design mockups) into functional code by analyzing visual elements, layout, colors, and typography through computer vision, then generating React, Vue, or HTML/CSS that replicates the design. Supports PNG, JPG, and other image formats as input.

Generates code with built-in accessibility considerations including semantic HTML, ARIA labels, heading hierarchy, color contrast validation, and keyboard navigation support. The system analyzes designs for accessibility issues and generates code that meets WCAG 2.1 AA standards where possible, with warnings for potential accessibility violations.

Converts Figma designs into semantic HTML and CSS (or CSS variables) with automatic extraction of design tokens (colors, typography, spacing, shadows) into reusable CSS custom properties or JSON format. The system parses Figma's design properties and generates a design token file alongside HTML/CSS output, enabling consistency across projects.

Analyzes live websites or uploaded images and generates React, Vue, or HTML/CSS code that replicates the design and layout. The system uses computer vision to identify UI elements, layout patterns, and styling, then generates code that matches the visual appearance. Supports cloning from website URLs or image uploads.

Enables users to refine generated code through natural language chat prompts, allowing iterative design-to-code workflows without re-importing designs. Users describe desired changes ('make the button blue', 'add padding to the card') and the LLM modifies the generated code in real-time. Maintains context across multiple chat turns within a single design session.

Analyzes uploaded brand assets (logos, color palettes, typography files) and applies them to generated code, ensuring design consistency with brand guidelines. The system extracts brand colors, fonts, and visual patterns from assets and automatically applies them to generated components, replacing default styling with brand-compliant alternatives.

Analyzes generated code and design structure to automatically detect data storage needs, then provisions a backend database with inferred schema without requiring SQL or manual configuration. The system identifies form inputs, lists, and data-driven components, then creates corresponding database tables and fields. Supports no-code database setup with automatic API generation.

Automatically deploys generated code to a live hosting environment and generates shareable preview links without requiring manual deployment configuration. Users can instantly share working prototypes with stakeholders through URLs, with automatic updates when code is regenerated or modified through chat.

Generates semantically correct code in multiple frameworks (React, Vue, HTML/CSS) from a single design input, allowing users to choose their target framework at generation time or switch between frameworks post-generation. The system maintains consistent component structure and styling across all output formats.

Provides REST/GraphQL API endpoints for programmatic access to design-to-code generation, enabling integration with external tools, CI/CD pipelines, and custom workflows. Developers can trigger code generation, retrieve generated code, and manage designs through API calls with authentication and rate limiting. Supports integration with coding agents and automation platforms.