"An MCP server for drawing Android native UI interfaces" matching MCP servers:

Enables creating and refining pencil-style drawings as layered HTML Canvas snippets through natural language descriptions, using classical construction methodology.

Provides AI assistants with comprehensive access to Gluestack UI components, source code, and examples for React Native development.

Enables Claude to see and control a real Android phone via MCP, reading the accessibility tree to tap, type, navigate, launch apps, and diagnose connectivity over ADB or cellular.

Enables AI assistants to interact with Android devices and emulators via ADB, providing tools for screenshots, UI inspection, touch and text input, app management, and device control.

A MCP server that enables LLMs to control Android devices via ADB, supporting input, UI hierarchy, device management, and shell commands.

A Django-native MCP application and tool registration framework inspired by Celery, providing async tool definitions, autodiscovery, and stdio/Streamable HTTP serving built on the official MCP Python SDK.

AI-powered Android device automation via MCP. Control an Android phone with natural language through Claude Desktop, Cherry Studio, Kai 9000, or the built-in Web GUI.

Enables MCP-capable LLMs to generate and render ephemeral Prefab UI interfaces at runtime, with tools for generating UI code and searching Prefab components.

Provides comprehensive UI design assistance tools for LLMs, generating color palettes, typography, spacing systems, shadows, design tokens, and more via the MCP protocol.

Provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata across React, Svelte, Vue, and React Native, enabling efficient component integration and code generation.

Helps AI assistants access shadcn/ui component documentation and examples through a TypeScript-based MCP server that provides reference information for component details, usage examples, and search capabilities.

Provides reference information for shadcn/ui components through a Model Context Protocol server that helps AI assistants access component documentation and examples.

Enables AI agents to measure the real geometry of a live Android UI over adb and uiautomator, reporting overlapping views, clipping, touch targets under 48dp, occluded or unlabeled controls, and portrait/landscape diffs. Analysis also runs against saved uiautomator dumps, so layouts can be checked in CI without a device attached.

Provides professional UI/UX design expertise and frontend development tools for analyzing interfaces, generating design systems, and creating modern components with accessibility and best practices built-in. Supports React, Vue, Angular and other frameworks with seamless Claude Code CLI integration.

Provides AI assistants with comprehensive access to Grafana's React component library, including TypeScript source code, MDX documentation, Storybook examples, test files, and design system tokens for building Grafana-compatible interfaces.

A Model Control Protocol server that allows users to discover, install, and manage Shadcn UI components and blocks through natural language interactions in compatible AI tools.

A Model Context Protocol server that provides access to Magic UI components, allowing AI assistants and other MCP clients to discover and use UI components from the Magic UI design system.

Provides Android development assistance following NowInAndroid best practices, including architecture patterns, code generation for feature modules/ViewModels/repositories, and searchable documentation for Jetpack Compose and modularization.

Native Claude Code integration for @annondeveloper/ui-kit — a zero-dependency React component library with 147 components, 3 weight tiers, physics-based animations, and OKLCH color system. Gives Claude deep awareness of the library's components, design patterns, and conventions. Includes 5 skills for component discovery, code generation, design system reference, tier selection, and accessibility

Enables AI coding agents to inspect a project's design tokens and component catalog, audit React/Tailwind files against seven static UI quality rules, score overall UI health, and apply auto-fixes that are re-audited and reverted on regression. It works both locally over filesystem access and remotely on raw TSX/JSX or CSS snippets passed directly as strings.