6 tools tagged
Showing 6 of 6 tools
MCP server for AI-powered UI component generation
Magic MCP is an MCP server from 21st.dev that enables AI agents to generate polished UI components inspired by modern design engineering patterns. It gives coding agents access to a library of high-quality component templates and design patterns, accelerating frontend development through intelligent component scaffolding.
AI website wireframe and design generator
Generate complete website sitemaps and wireframes with AI in minutes. Relume outputs Figma and Webflow-ready component libraries, with a built-in library of 1000+ components and style guides. Ideal for designers and agencies who need to rapidly prototype client projects without starting from scratch every time.
Visual builder for React with headless CMS
Open-source framework for building applications powered by large language models. Provides composable abstractions for chains, agents, retrieval-augmented generation, and memory. Supports Python and JavaScript with integrations for all major LLM providers, vector stores, and data sources, making it the most widely adopted LLM orchestration toolkit.
Visual CMS and headless page builder
Next-generation AI coding assistant built directly into your IDE. Provides intelligent code completion, multi-file editing, and natural language code generation. Learns your codebase context to deliver more accurate suggestions than generic autocomplete, with support for VS Code, JetBrains, and other popular development environments.
AI-powered design to frontend code
AI-powered code search and navigation tool that understands your entire codebase semantically. Ask questions in plain English and get precise answers with file references. Integrates with GitHub repositories and local codebases, helping developers onboard faster and find relevant code across large monorepos without memorizing file structures.
Design-to-code handoff and CSS generation
Enterprise-grade AI platform for building, deploying, and managing machine learning models at scale. Provides end-to-end MLOps with experiment tracking, model registry, feature store, and automated retraining pipelines. Designed for data science teams that need reproducible workflows and governance across the full ML lifecycle.
