"iOS Anti-Debugging Techniques and Implementation" matching MCP servers:

MCP server for capturing iOS device screenshots using Appium, compatible with AI clients like Trae.

A server that captures screenshots from iOS Simulator using the Model Context Protocol (MCP) and saves them to a specified directory.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Allows LLMs to access, scan, and search photos on connected iOS devices via USB using libimobiledevice and ChromaDB. It supports semantic search, metadata filtering, and automated file organization for efficient media management.

MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

Enables text-only agents to process images by accepting image files, base64 data, or URLs, sending them to multimodal models, and returning structured text results via MCP.

Enables driving Inkscape headlessly from an MCP client, with verified SVG editing, rendering, optimization, and animation tools.

Identifies LEGO parts, sets, and minifigures from local image files using the Brickognize API. It provides specialized tools for specific item recognition and integrates LEGO identification capabilities into MCP-enabled environments.

MCP server for screen recording on macOS, iOS Simulator, and Android, with key-frame extraction via ffmpeg, enabling AI agents to capture UI motion and transient visual states.

Enables AI agents to author node-graph-based procedural graphics as data and render them deterministically via a pinned headless engine, returning validated, hashed image artifacts with full provenance.

Enables printing labels on King Jim Tepra PRO SR5900P over Wi-Fi/LAN, supporting Japanese text, QR codes, and images through natural language.

Enables image generation and editing, video generation and extension, status polling, and download through the Kenari.id media APIs, saving outputs as files on disk.

An MCP server implementation that integrates with Minimax API to provide AI-powered image generation and text-to-speech functionality in editors like Windsurf and Cursor.

Enables read-only screen capture, OCR, and change detection without input control.

Exposes Google Gemini's Nano Banana image generation models to Claude, enabling text-to-image generation, image editing, and multi-image composition through natural language prompts.

Enables Claude Code and Claude Desktop to drive Dreamina's Seedance 2.5 for batch video generation, including cinematic techniques, references, first/last frames, video-to-video edits, and automatic clip downloads via the SeedFlow Chrome extension.

MCP server that turns raw in-app screenshots into beautiful, store-ready marketing images for the iOS App Store and Google Play.

Enables working with 3D models by converting GLTF/GLB files into React Three Fiber JSX components and analyzing model structures, hierarchies, and properties for debugging and optimization.

JavaScript implementation of MiniMax MCP that enables interaction with MiniMax AI services for image generation, video generation, text-to-speech, and voice cloning through MCP-compatible clients.