"android" matching MCP servers:

MCP server for screen recording on macOS, iOS Simulator, and Android, with key-frame extraction via ffmpeg, enabling AI agents to capture UI motion and transient visual states.

Gives PC AI agents real-world senses by connecting to an Android phone's camera, sensors, and files over local Wi-Fi without cloud relay or ADB.

Local MCP server that compares a mobile app screen (Android or iOS Simulator) with its Figma design

Enables agents that cannot accept image input to read a running Android app's UI as text — dumping the accessibility/semantics tree, auditing tap targets and overlaps, and rendering pixels as glyphs — and to drive it by tapping elements resolved from their labels. Works without a hosted vision API, using adb against a connected device.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

Lets AI agents place GPS-anchored real-world billboards, deals, and AR/holographic messages at any latitude/longitude, generating or attaching artwork and then publishing it so nearby humans see it across iOS, Android, web maps, and Meta Quest simultaneously. It also exposes tools for checking API health, listing account deals, and searching public deals.

An MCP server for vibe coders to generate app icons with AI, auto-resize for iOS/Android, and publish to app stores, all from an AI coding assistant.

Enables AI-powered screenshot capture and UX/UI analysis of iOS simulators and Android emulators directly from your IDE.

Enables comprehensive color manipulation, conversion between 22+ formats (HEX, RGB, HSL, CMYK, LAB, etc.), palette generation, gradient creation, and accessibility compliance checking. Supports framework-specific outputs for CSS, Swift, Android, Flutter, and Tailwind with high-precision conversions and visualization capabilities.

Generate deployment-ready PWA, iOS, and Android app icon sets from a text description. Produces all 27 required sizes, maskable icons, Xcode-ready iOS icons, Android mipmap folders, splash screens, and manifest.json packaged as a ZIP. Powered by Google Imagen 4.

Drives Android, iOS, smart TV (Android TV, Tizen, webOS), web and Bluetooth (BLE) devices from an agent: start a session, tap, type, swipe and assert by XPath, visible text, OCR or image, then save the steps as a replayable CSV test suite.

Gives AI agents vision and control over Android devices using ADB and scrcpy, enabling screenshots, input gestures, app management, UI automation, shell commands, file transfer, and audio/video streaming.

MCP server for querying Money Manager backups (.mmbak) with transaction search, spending summaries, trends, merchant analysis, and OCR full-text search over receipt photos. Local-first and read-only, supporting both iPhone and Android backup formats.

Enables MCP-compatible AI assistants to see and control Android devices through ADB and a fast device-control protocol, including screenshots, touch input, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming.

Enables AI agents to load web pages in true-to-size iPhone, iPad, and Android device frames, capture screenshots, inspect interactive elements and layout diagnostics, and automate tap/type/scroll flows with network mocks, console errors, and test evidence.

Enables AI agents to see and operate a real Android phone over adb by fusing live screenshots with UI-tree data, supporting look, tap, swipe, type, and screenshot actions through any MCP client.

Enables MCP-compatible AI assistants to see and control Android devices via ADB and scrcpy, exposing 44 tools for screenshots, taps, swipes, typing, UI element discovery, app management, file transfer, clipboard, shell commands, and audio/video streaming. Uses scrcpy's binary control protocol for fast input and near-instant screenshots, with an ADB fallback when no scrcpy session is active.

Enables AI agents to analyze and interact with Android phone screens via ADB, using the AutoGLM model to answer queries about screen content and coordinates.

Gives MCP-compatible AI assistants vision and control over Android devices — capturing screenshots, tapping, swiping, typing, launching apps, inspecting UI elements, streaming audio/video, transferring files, and running shell commands over ADB, with a fast binary control protocol for near-instant input and screenshots.

Analyzes app screenshots to identify UI/UX issues, compare designs with implementations, and provide actionable fixes using GPT-4o/GPT-5.2 vision capabilities. Supports single/batch analysis, design comparison, and automated report generation for iOS, Android, web, and desktop platforms.