"Android Studio Development Platform" matching MCP servers:

Studio MCP transforms any CLI command into an AI tool by using a simple template syntax to define input schemas and arguments. It enables AI agents like Claude and Cursor to execute local scripts and system commands through a dynamically generated Model Context Protocol server.

Enables AI agents to control, inspect, and automate Android devices, Waydroid containers, and AVD emulators over ADB. Provides tools for screenshots, UI-hierarchy text-based tapping, gestures, key presses, text input, app management, and raw shell commands.

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

Enables control and automation of Android devices using uiautomator2 and ADB. It supports UI interactions, app management, and shell command execution through the Model Context Protocol.

An MCP server that gives coding agents hands and eyes on an Android device, providing 19 tools for building, testing, installing, UI inspection, input, logs, and toolchain diagnosis. It returns concise, structured results to make the build-debug loop efficient.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

Secure, read-only MCP server that lets AI assistants (Claude, OpenCode, VS Code) inspect Android devices via ADB — logcat, UI hierarchy, installed packages, and allowlisted shell commands. TypeScript/Node.js.

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

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.

Lets Claude see an Android phone's screen through ADB screenshots and control it by typing over ADB and by speaking button commands aloud through the PC speakers for Google Voice Access to tap, plus gestures, app launching, and optional voice input.

Provides comprehensive Android device management capabilities through ADB, including device management, app management, file operations, and system monitoring.

Enables AI agents to control Android devices through natural language, supporting app management, UI interaction, gestures, and system operations via uiautomator2.

Enables AI coding agents to build, test, lint, and debug Android projects with concise Gradle output, filtered logcat, and connected-device inspection and interaction. It also supports setup across several agent clients and caps noisy output to save tokens.

An MCP server that wraps Android ADB functionality into AI assistant tools, enabling device management, shell execution, file operations, app management, media capture, and log analysis via natural language.

Enables LLM clients to slice, paint, and verify 3D prints through the installed slicer's command line for any installed Bambu printer, nozzle, and filament, with settings per object type. It never sends jobs to a printer.

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Connects to a GCP-hosted AOSP build VM via IAP tunnel, uploads APKs as privileged system apps, and builds system.img.

MCP server for Decky Loader plugin development, providing tools to build, deploy, debug, and capture screenshots/recordings on a Steam Deck via commands like deck.deploy and deck.captureScreenshot.

Remote MCP server for Android CLI agent build gate that enables checking builds, suggesting fixes, explaining permission blockers, issuing receipts, and exporting logs.

Enables AI clients to manage ADB devices and packages, detect packers, pull APKs, and unpack hardened Android apps via static extraction, BlackDex, or Frida, then convert DEX files to smali. Supports listing, reading, and regex-searching smali classes to locate APIs and other reverse-engineering targets.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

The Yeepay MCP service provides integration with Yeepay services via the Model Context Protocol (MCP).

Zero-dependency Model Context Protocol server for Termux (Android) that gives shell access to your device.

Enables AI agents to manage Supervisord processes (start, stop, restart, view logs, etc.) through the Model Context Protocol, simplifying process management in production and development environments.

Enables interaction with Android devices via the Android Debug Bridge (ADB), allowing users to manage apps, files, and system permissions through natural language commands. It supports core functions like package listing, screen captures, and APK installation within MCP-compatible environments like Claude and Windsurf.

Enables MCP clients to load and edit saved 3MF projects, adjust slicer settings, and regenerate G-code using an explicitly bound installed native slicer engine.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

interactive-mcp

A cross-platform screenshot tool that lets coding agents capture and view their output, enabling self-correction through visual feedback.

Lets an AI assistant look after Android TV boxes, phones and watches over ADB: find devices on the network, see the screen, tap and type, install apps. Package changes are dry-run first, with a protected set read off the device and one-call rollback.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

Cross-platform MCP server for policy-controlled command execution on Linux and Windows, with no SSH dependency.

MCP server that gives AI coding agents hands, eyes and a mechanic's ear for React Native development.

Enables MCP clients to flatten and audit Bambu Studio presets, slice models with GUI-matching results, check STL/3MF/OBJ printability and part clearance, and compose non-destructive project edits without controlling printers.

A cross-platform MCP server providing secure, user-approved privilege escalation for Cursor agents, with tools for running commands as admin on Windows and root on Linux.

A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.

MCP server that lets AI assistants scaffold, build, register, query, and diagnose Microsoft Dataverse plug-ins directly from conversation, orchestrating Power Platform CLI and Azure CLI.

Acts as the 'Hands and Eyes' for an Autonomous AI Agent, bridging Large Language Models and your local development environment to enable safe file manipulation, context reading, command execution, and documentation verification.

Enables AI agents to control Android devices through the Android Debug Bridge, covering device listing, shell commands, app install/uninstall, logcat reading, screenshots, UI automation (tap/swipe/type/key events), dumpsys queries, file transfer, port forwarding, permission management, and Wi-Fi pairing. Failures are mapped to typed, actionable causes and tool calls are safety-annotated and guardrailed, with multi-device calls scoped explicitly by serial.