"Guide to Creating React Components" matching MCP servers:

Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.

Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.

Converts Figma designs into React components with TypeScript and Tailwind CSS by extracting components from Figma files and transforming them into ready-to-use code.

Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.

Provides AI assistants with tools to grade, generate, and validate UI components against the components.build specification. Supports searching documentation, checking compliance, and generating framework-agnostic accessible components.

MCP server that exposes petal_components schemas and usage examples to AI coding assistants, enabling generation of idiomatic Phoenix LiveView markup.

一个 Ant Design 组件查询的 mcp 服务，包含 组件文档、API 文档、代码示例、组件更新日志查询

An MCP server that runs parallel AI agents to analyze React components for performance issues, including unnecessary re-renders, memoization errors, bundle size problems, and profiling concerns.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

Enables agents to serve interactive Auth0 Forms as MCP Apps in a sandboxed iframe, letting users complete sign-up, consent, profile, or payment flows while the agent only receives completion status.

MCP server implementing ReAct reasoning-acting loops with tools like search, lookup, and finish, supporting both fixture and OpenAI LLMs for offline-first, traceable agent execution.

Streams live React profiler data to AI agents, enabling them to analyze performance and suggest specific, actionable fixes for slow components.

MCP server providing AI coding assistants with documentation and source code for @gaddario98 React packages, including tools for listing packages, retrieving docs and types, and searching source.

Exposes Ant Design component documentation to Large Language Models, allowing LLMs to explore and understand Ant Design components through specialized tools for listing components, viewing documentation, inspecting props, and browsing code examples.

Enables AI assistants to search, understand, and generate code for design system components by syncing and indexing a component library.

MCP server that gives AI coding agents hands, eyes and a mechanic's ear for React Native development.

An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.

An MCP server designed for React Native and Expo development that provides specialized tools for project scaffolding, architectural best practices, and troubleshooting. It enables AI assistants to guide users through setup, navigation configuration, and CI/CD processes using modern stacks like NativeWind and Zustand.