"styled-components" matching MCP servers:

Harvests React components from Aceternity UI and Shadcn UI, fetching code and metadata to generate integration prompts for AI agents.

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.

Enables any MCP client to search, read, and install free Aura components, agent skills, images/clips, and DESIGN.md systems straight from the public catalogue over stdio, with no account, OAuth, or API key needed. It also returns install plans, token starters, starter kits, and trending/category data so agents can assemble landing pages and UI sections in a few calls.

Enables AI to precisely use local Vue components by extracting their Props, Events, and Slots via AST analysis.

Enables integration of Gluestack components with Claude Desktop and Cursor IDE for UI development.

A universal MCP server for Google Stitch that enables AI-powered UI/UX design generation by extracting design context and metadata from existing screens. It allows users to fetch screen code and images to create consistent, styled UI components across multiple projects.

Provides AI assistants with access to neobrutalism-styled React components, enabling them to generate UI code and prototypes using components like buttons, cards, dialogs, and star decorations.

Provides production-ready examples of MCP servers that demonstrate building rich, interactive UI components for ChatGPT, including authentication flows, product search with carousels, shopping cart checkout, and membership signups with state management.

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.

Generates custom React components following Shadcn UI standards with TypeScript, Tailwind CSS, and accessibility support.

Enables coding agents to search and retrieve 500+ production-ready React and Tailwind UI sections, page recipes, and brand-styled components over MCP, along with imagery and social post templates.

Gives AI coding assistants live access to the Hyperiux Vault catalog of React and Next.js animation effects. Search effects, inspect dependencies and installation instructions, and retrieve source for free effects.

MCP server for analyzing transformer language model internals, exposing tools to trace attention heads and neurons responsible for predictions, get activation statistics, ablate components, and sketch circuits.

Provides AI assistants with current Ionic Framework v9 and v8 documentation, including component API references, usage examples for Angular, React, Vue, and vanilla JavaScript, and Ionic blog posts. Enables searching docs, reading pages, listing components, retrieving usage examples, and listing blog posts.

Official MCP server for UploadKit, the file-uploads platform for developers. Gives Claude Code, Cursor, Windsurf, and Zed first-class knowledge of UploadKit's 40+ open-source React components, Next.js route handler scaffolding, wiring, BYOS (S3/R2/GCS/B2) configuration, and full-text search across 88+ docs pages. Runs locally via npx — no API key, no telemetry, no config.

Provides tools to retrieve the GodPrompt universal system prompt and its components (core skill, protocols, gates, anti-patterns) for AI software development, plus task classification. Designed for progressive context usage.

Flag AI tells, weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, and filler adverbs

Read-only catalog of the @blueprint-modular/core design system (104 components). Four tools — list/search/get components and suggest compositions. Public, no auth, Streamable HTTP.

Enables searching and filtering over 1.5 million electronic components across JLCPCB, Mouser, and DigiKey using parametric queries and smart parsing. It supports finding alternative parts, accessing pinout data, and downloading KiCad footprints directly through AI coding assistants.