Limooonik vs MCP Replay

Limooonik is a sandbox and library for continuous native animations on iOS widgets. The application is designed as a Proof of Concept (PoC) for engineers, CTOs, and product designers looking for a legitimate, high-performance solution to bring home screens to life. Animation Within Apple’s Rules Standard iOS widgets have strict rules for state updates, and using video or GIF animations is technically impossible. Limooonik clearly demonstrates that creating smooth, continuously running animations for the Home Screen, Lock Screen, and StandBy mode can be done with complete transparency. All solutions are built strictly upon permitted Apple documentation, utilizing exclusively official system tools and without the use of any private APIs. Core Tech * 100% pure SwiftUI and WidgetKit API. * Graphics are rendered mathematically via vector curves (Path / Bézier). * Animation runs inside the standard system TimelineProvider using native .animation modifiers. * Zero PNG sequences, video files, or heavy media assets. Performance & Autonomy * Zero battery drain in the background due to strictly optimized draw calls. * Offline-first architecture: fully autonomous, works in Airplane mode without connecting to external servers. * Support for interactive state reactions via AppIntents. Integration This application serves as an interactive showcase of the technology. The library itself is available for integration as a ready-to-use .xcframework binary: * Real-time parameter passing and instant state synchronization. * Unified codebase for iPhone, iPad, Mac, and Apple Watch. * Native support for Home Screen, Live Activities, and Dynamic Island. * Can be seamlessly integrated as a native module into React Native, Flutter, and Kotlin Multiplatform (KMP). Website: https://limooonik.github.io Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://limooonik.github.io/privacy.html For any issues or questions, email: nicklimoapps@gmail.com

MCP Replay is a trace viewer for the Model Context Protocol, the open standard AI agents use to call tools. Record a session with the free mcp-tape command line tool, then open it on your phone: every request, response, error, and latency, organized and searchable. WHAT YOU CAN DO - Open .jsonl traces from Files, AirDrop, or any share sheet - Follow a replay link someone sent you, or paste a bare share ID - Watch a live session streaming from mcp-tape on your own network - See paired tool calls with latencies, and per-tool stats (count, errors, avg, p95) - Filter the timeline by tool or method - Share a trace as a link that expires after 30 days, with a delete token so you stay in control BUILT FOR PRIVACY Traces stay on your phone. Nothing is uploaded unless you explicitly share a trace, and there are no accounts, no analytics, and no tracking. Live mode connects directly to your own computer; the stream never touches a server. FOR ANYONE BUILDING WITH AGENTS If you use Claude, ChatGPT, or any MCP-compatible agent framework and have ever asked "what did it actually do?", this is the answer. Record with one command: npx mcp-tape -- your-mcp-server-command Then open the trace here or at mcpreplay.dev. MCP Replay is open source and independent. It works with any tool that emits the open mcp-tape trace format.