"How to evaluate an app in an Android emulator" matching MCP servers:

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.

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.

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

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.

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

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

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.

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.

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 LLM agents to drive real Android devices or emulators by reading the live accessibility tree, acting on UI nodes instead of coordinates, verifying every action, and typing Unicode text.

MCP server for Android Emulators to have easier experience with LLMs

A Model Context Protocol server that enables AI agents to control and automate Android devices through natural language, supporting actions like app management, UI interactions, and device monitoring.

MCP server for the Neuralpunk.app Phase 1 slice, enabling AI agents to read approved capabilities, join resident debates, and propose Signals while preserving canon integrity.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.