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

Provides comprehensive tools for React Native development, automating project initialization, version management, upgrades, Expo integration, and development workflows through AI assistance.

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Enables MCP-compatible AI agents to perceive and control an Android phone through tools for screenshots, visible text and coordinates, app/screen queries, taps, swipes, text input, key events, app launching, and interrupt/resume, closing the perception-action loop.

Turn any Android phone into an autonomous ARM64 Linux micro-server and AI development appliance with native MCP support.

Enables macOS computer-use automation through public Apple APIs, supporting app and window discovery, clicking, typing, scrolling, and field setting via accessibility controls.

Enables an agent to drive an Android phone attached via USB by reading the screen, deciding next steps, executing actions, and verifying results, all through adb.

An MCP server that lets Claude Code delegate durable background tasks, reasoning profiles, thread resumption, and native image generation to your local Codex CLI.

Lets AI agents use an Android phone: read the screen, tap, type, scroll, open apps, take screenshots and reply to notifications, with approval cards before anything is sent, posted, bought or deleted. Runs inside the Buddy app on the phone; no root, adb or PC.

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 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 Claude or any MCP agent to see and operate a real Android phone over adb, with fast screen reads, tap/type/swipe actions, app launching, deep links, and brand-aware setup guidance, all without admin rights or an Android SDK.

Provides an MCP server that lets AI agents inspect and control an Android phone over Wi-Fi or USB, including screenshot element maps, OCR, taps, typing, scrolling, app launching, notifications, clipboard, and device settings/controls.

This server enables MCP clients to control a real Minecraft Java player client with native first-person gameplay, structured spatial perception, bounded continuous actions, and optional livestream widgets.

MCP server that enables LLMs to control Android devices via ADB, providing tools for screen interaction and UI inspection.

Enables AI sales agents to interact with a CRM via event-sourced actions, identity resolution, guard checks, and an approval inbox, managing communications and tasks while adhering to compliance rules.

Enables orchestrator agents to route coding tasks to native CLI worker agents via MCP, providing tools for agent discovery, task submission, waiting, inspection, and cancellation.

Enables AI agents to profile React applications, detect performance bottlenecks, and automatically apply fixes like memoization and code hoisting.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

An orchestrator MCP server that takes a plain-language app description and guides agents through a full workflow from intake to deployment, including design, audit, and maintenance.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

Enables automated Android APK analysis by orchestrating seven specialist reverse-engineering agents in parallel, consolidating results into a unified report.

Enables AI assistants to observe, reason about, and control connected Android devices via ADB, providing tools for screenshots, UI hierarchy parsing, semantic element clicking, gestures, text input, and app lifecycle management.

Enables AI agents to drive a rooted Android phone using OS-reported semantics rather than screenshots or OCR: it reads a single hierarchy dump into typed, addressable controls and injects taps, swipes, and key events through a resident native daemon in tens of milliseconds. It also probes and remembers the effect of controls the OS leaves unlabeled, so subsequent screen descriptions carry learned annotations instead of guesses.

An MCP server that translates human GUI actions into machine-executable commands, enabling AI agents to control real software applications like Zoom, Excel, and WeChat via natural language or API calls.

Enables AI agents to act as local Android developers with compilation, emulator, asset management, and diagnostics capabilities for a closed-loop build cycle.

Enables MCP-capable agents to control the macOS mouse and keyboard using screenshots and Quartz-based input events, including app switching, clicks, scrolling, text entry, shortcuts, and action-triggered screenshots.

This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.

Enables AI agents to connect to Revit 2024 via MCP, inspect documents and selections, query and modify elements, and validate, preview, or commit plans with audit logging and rollback.

Enables any MCP client (zcode, Claude Code, Cursor) to give its model bi-temporal long-term memory, auditable evidence-cited retrieval, LLM-assisted document extraction, and deterministic A* skill planning with precondition/effect verification. All four capabilities share one portable SQLite store and can be mounted independently on demand.