"UI/UX design resources and information" matching MCP servers:

Provides coding agents live access to shadcn-style component registries, enabling them to search, compare, and fetch real component source code for UI composition.

Search, inspect and install Ballmac UI React + Tailwind components, blocks and templates, with props, keyboard notes and the exact shadcn install command, and plan whole pages from blocks.

Enables coding agents to inspect live browser runtime evidence, such as blocking elements and interaction surfaces, and to independently verify whether a code fix resolved the issue.

An MCP server that enables AI agents to semantically retrieve premium UI components from Awwwards and adapt them into clean React + Tailwind code.

Frontend Design Loop MCP enables coding agents to improve web page designs through screenshot-grounded iteration and proof artifacts, making pages materially better.

MCP server that runs Kimi K2.7-code as an autonomous coding agent inside a bubblewrap-sandboxed git worktree, returning git diffs of changes for review.

Enables compatible MCP AI tools to read, write, design windows, and run programs in the E-Language IDE.

Converts screenshots into context-aware UI code that integrates seamlessly with existing Angular projects, considering project structure, conventions, and dependencies.

Provide a human vision statement. The AI autonomously researches, audits your codebase, generates specs and plans, implements, and validates — with bi-directional verification at every junction to ensure nothing is missed or invented.

Unified MCP server for Android mobile development — combines project knowledge, Android CLI execution, live dependency versions, and agentic workflow tools for Claude Code.

A local MCP server that provides a safe plan-and-execute workflow for AI coding assistants, storing plans and tasks, and executing agent commands with an allow-list for security.

Enables a coding agent such as Codex or Claude Code to delegate work to a local Pi coding-agent session, including second-opinion reviews, bulk reading kept out of the main context, and follow-up turns that retain context. Operators control what is possible by defining workspace and execution-profile aliases in a local config file, so clients cannot choose directories, models, providers, or permission levels themselves.

Enables coding agents to write repository documents (READMEs, RFCs, design docs, ADRs) from verified codebase facts, using a separate model for drafting and agent fact-checking for accuracy.

Exposes 31 high-assurance agentic coding skills as MCP tools and resources, enabling AI agents to invoke structured workflows across DISCIPLINE, TECHNIQUE, KNOWLEDGE LAYER, and REFERENCE registers.

A secure MCP server that gives AI coding assistants direct access to the shadcn/ui registry, enabling fetching, installing, and wiring up components without switching context.

Enables AI assistants to interact with iOS Simulators and Android Emulators, allowing autonomous app development, UI interaction, profiling, and debugging through natural language.

Drive Elixir terminal UIs headlessly from an agent: start a TUI session, send keystrokes, take structured screenshots, and read TEA model state as MCP resources. Also exposes adaptive-UI recommendation tools and, when raxol_agent is loaded, read-only coding-agent session tools.

Enables coding agents to search and retrieve persistent repository memory created by Cliper, providing context, gaps, architecture, and timeline information via MCP tools.

Bridges Claude Code and OpenAI Codex CLI for an interactive plan-execute-review workflow, enabling Claude to interview, design, and review while Codex implements code changes.

A Model Context Protocol (MCP) server that helps AI coding assistants identify critical design issues in code, rather than just focusing on cosmetic problems when asked to improve code.