"Evaluating an Expo Go App and Associated React Native Code in an Android Emulator" matching MCP servers:

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.

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Enables AI assistants to execute Expo and EAS operations including project setup, cloud builds, OTA updates, app submission, and diagnostics.

Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

Enables AI assistants to inspect React component trees, props, state, and source locations in Chrome, facilitating UI debugging and analysis.

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.

what is go-mcp-postgres? go-mcp-postgres is a Model Context Protocol (MCP) server designed for interacting with Postgres databases, allowing for easy CRUD operations and automation without the need for a Node.js or Python environment.

This MCP server enables MCP Apps-compatible hosts to render an interactive React-based UI and invoke a sample tool over streamable HTTP or stdio transports.

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.

MCP server that lets an AI assistant see and control an Android phone over ADB: screenshots, UI dump, tap, swipe, type, keys, open apps. Safety guards: device allowlist, sensitive-app block, raw shell off by default, rate limit.

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.

MCP server for Yahoo Mail over IMAP+SMTP that enables AI assistants to manage emails fully—listing, reading, searching, threading, flagging, moving, archiving, handling attachments, and sending/reply/forward/draft—using an app-specific password.

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.

An MCP App template for building interactive UIs on deco, providing tools, resources, and a React frontend.

Provides component information, usage guidelines, and code generation for AWS Cloudscape Design System in React, with search and pattern library capabilities.

Persistent memory and pattern learning for AI coding assistants via MCP.

Enables agents to inspect, control, and debug Android devices over ADB using named device profiles, with read-only defaults and gated write/shell operations across UI, apps, logs, files, and system diagnostics.

Enables AI agents to analyze and scaffold React/Next.js applications enforcing Feature-Sliced Design (FSD) conventions, providing tools for project analysis, rule retrieval, and entity generation.

Enables AI-powered video creation by writing React/Remotion code, compiling it in real-time, and rendering the result as a live video inline in the chat.

Enables AI agents to interact with WhatsApp through a Model Context Protocol server, supporting sending text messages, contacts, links, and locations via standardized tools.

Enables AI-powered video creation by letting the model write React/Remotion code, compiling it in real-time, and rendering the video inline in the chat interface via an interactive widget.

Enables app intelligence across Google Play and the Apple App Store, including details, reviews, and search via a unified API.

Enables users to describe an LLM fine-tuning job once and receive VRAM/FLOPs-aware recommendations for the cheapest, fastest, or most balanced GPU options across a dozen cloud providers.

It enables users to describe an LLM fine-tuning workload once and receive task-aware VRAM/FLOPs estimates plus ranked cheapest, fastest, or balanced GPU recommendations across multiple cloud providers.

Enables Claude to interact with physical iOS devices running Expo development builds via USB or network tunnels. It supports capturing screenshots, streaming system logs, managing applications, and retrieving device information through natural language.

Enables users to describe an LLM fine-tuning workload once and receive ranked cloud GPU recommendations with estimated VRAM/FLOPs requirements, cost, runtime, and data-source transparency.

MCP server for static security analysis of Android application source code.

Read-only MCP server for IFRC GO data, secured with Microsoft Entra ID OAuth/JWT, exposing datasets as MCP tools with rate limiting and PII filtering.