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Why this server?
Transforms Tailwind components to NativeWind 4, which helps in using Tailwind CSS with React Native projects.
Why this server?
A bridge between Figma designs and React implementations enabling pixel-perfect conversion of Figma designs into React applications.
Why this server?
Integrates with Storybook to help AI tools query UI components and retrieve usage examples from static Storybook files, useful for React projects.
Why this server?
Analyzes React projects locally, providing consistent output with AST parsing and AI, creating markdown docs and llm.txt files.
Why this server?
A template for creating Model Context Protocol servers with features like dependency injection and service-based architecture, facilitating the creation and integration of custom data processing tools. Useful for React projects in TypeScript.
Why this server?
Enables AI models to generate and upscale images through the Letz AI API, allowing users to create image assets directly within Claude conversations, beneficial for game and web development projects.
Why this server?
Provides frontend testing tools including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.
Why this server?
A TypeScript-based MCP server that enables AI assistants to create designs in Figma through natural language prompts, useful for UI/UX design with React.
Why this server?
An MCP server that integrates with Cursor IDE to generate images based on text descriptions using JiMeng AI, allowing users to create and save custom images directly within their development environment.
Why this server?
Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.