21 posts
Control your Android devices with AI using Model Context Protocol
AI-driven mobile app testing via MCP. Any AI coding agent can test any Android app — no test framework, no boilerplate, no testIDs
MCP server for headless AI-driven Android reverse engineering — 122 tools across 8 categories for ADB, NDK, il2cpp, hooking, crash trapping,...
MCP server for computer use & browser automation - screenshot, OCR, click, type, find_text, Chrome/Electron CDP, template matching. macOS,...
HttpRunner 是一款开源的 API/UI 测试框架，简单易用，功能强大，具有丰富的插件化机制和高度的可扩展能力。
Agent-native mobile UI automation: one Zig binary drives real Android/iOS devices over MCP, JSON-RPC, or committed JSON scenarios, and emits...
Local-first situational awareness layer for AI agents. Single binary, written in Rust.
Android ADB CLI tool including integrated MCP Server with common adb actions used during development
Operate Android Studio and the full Android toolchain from Claude. 73-tool MCP server: Gradle build/test/lint, ADB, emulator/AVD, SDK manage...
CLI Model Context Protocol server for ad-hoc Android & iOS UI testing — act+observe loop, device-condition control, crash/log & network capt...
Full-featured Android Debug Bridge MCP server — 204 tools across 45 modules, 5 resources, and 4 prompts, from UI to baseband.
🎬 MCP server that records narrated, subtitled tutorial videos by driving a browser with Playwright — captions burned in + .srt sidecar.
