"Villager 0.2.1rc1 Framework MCP Auto Penetration Testing" matching MCP servers:

Drives Android, iOS, smart TV (Android TV, Tizen, webOS), web and Bluetooth (BLE) devices from an agent: start a session, tap, type, swipe and assert by XPath, visible text, OCR or image, then save the steps as a replayable CSV test suite.

A server that automates screenshot capture and document processing, allowing users to convert screenshots into PDFs and extract text through natural language commands.

Enables AI agents to generate teacher verification documents such as employment letters, teacher IDs, teaching licenses, and payslips for 13 countries through MCP tools. It supports listing countries and schools, then producing one or more documents as PNG files.

MCP server enabling a florr.io game agent with YOLO vision, entity prediction, combat assessment, and local knowledge base for autonomous gameplay.

Post AI-generated images to Vynly, the AI-only social feed. Four tools for posting, reading, searching, and ephemeral sparks — auto-claims a demo token on first run so it works with no signup.

Local OCR & image analysis via Apple Vision Framework — private, offline, no API keys. Extracts text from images and PDFs, detects faces, barcodes, QR codes, and document corners. Works with Claude Code, Claude Desktop, and Cursor.

Generates images via any OpenAI-compatible API, auto-detecting image models and saving results to disk with optional inline previews.

Enables pixel-perfect image comparison and visual regression testing via tools to compare local images, screenshots, and URLs with detailed diff statistics.

Generates family pedigree tree diagrams as PNG or SVG images using standard genetic notation compliant with Bennett 2008/2022 NSGC guidelines. Supports comprehensive genealogical features including conditions, genetic testing results, twin relationships, carrier status, and adoption indicators.

MCP server for parallel video rendering with 6 tools: detect_gpu, system_info, render_video, color_grade, merge_audio, concat_videos. Live dashboard, GPU auto-detection, YouTube-optimized output.

Enables Claude to capture screenshots of the screen, windows, regions, and web pages, and compare screenshots for visual regression testing.

Enables AI agents to auto-slice 2D spritesheet PNGs (grid cells or irregular islands), export Godot 4 SpriteFrames .tres animation resources, compute feet-aligned RectangleShape2D/CapsuleShape2D body colliders, extract CollisionPolygon2D contours for props, and generate ready-to-open CharacterBody2D .tscn scenes. It also works standalone as a CLI for these tasks.

MCP server that gives visual reference to MCP clients by calling an OpenAI-compatible vision API, enabling image description with optional auto-selection of the newest pasted image.

MCP server for controlling USB-connected DSLR cameras (e.g., Canon EOS 6D) via natural language, with features like capture, exposure settings, and autonomous timelapse with feedback-based auto exposure.

Enables text-to-image creation, image editing with optional mask-based local changes, and style-preserving variation generation through NewAPI-compatible endpoints. Generated images are auto-organized by month with extracted tags, metadata, and a searchable index.

Enables AI assistants to drive and control a VEX AIM coding robot over Wi-Fi, using its camera, lights, screen, speaker and kicker to navigate, detect objects, and play soccer. Also serves a live browser control panel for driving, team setup, and running autonomous-then-driver matches, with simulators available for testing without hardware.

MCP server that lets AI assistants manage Roblox thumbnails end to end, including performance tracking, generation, publishing, auto-rotation, and Discord team notifications.

MCP server for raster image manipulation using Pillow and OpenCV. Enables image operations such as resizing, cropping, rotating, format conversion, filtering, and auto-enhancement via MCP tools.

An MCP server for vibe coders to generate app icons with AI, auto-resize for iOS/Android, and publish to app stores, all from an AI coding assistant.

Provides tools to fetch IIIF manifests and retrieve specific image regions or scaled images for analysis. This server enables detailed interaction with International Image Interoperability Framework resources, supporting tasks like image description and transcription.

Enables AI coding agents to programmatically assemble vertical videos and manage local CapCut Desktop drafts, including AI background removal, audio mastering to -14 LUFS or Demucs vocal isolation, music auto-ducking, punch zooms, karaoke captions, PiP proof overlays, hook badges, safe-zone linting, proxy previews, and EN→ES cloning/dubbing. It outputs real CapCut draft JSON ready for review and export.

A professional MCP server for managing and posting Instagram content, including PDF-to-image conversion, carousel batches, auto-posting, and Cloudinary hosting.

A Python-based MCP server that adds image analysis capabilities to text-only LLMs via a single analyze_image tool, supporting local files, URLs, auto-scaling, and multiple OpenAI-compatible APIs.

Enables AI assistants to natively control FilmCraft and Adobe Premiere Pro timelines for editing tasks such as rough cuts, silence removal, audio normalization and ducking, color grading, object masking, vertical auto-reframing, HyperFrames graphics, and exports. It auto-detects the running NLE and provides safe, reviewable operations with audit receipts and undo checkpoints.

Enables comprehensive color manipulation, conversion between 22+ formats (HEX, RGB, HSL, CMYK, LAB, etc.), palette generation, gradient creation, and accessibility compliance checking. Supports framework-specific outputs for CSS, Swift, Android, Flutter, and Tailwind with high-precision conversions and visualization capabilities.

An MCP server that enables automated dataset creation and custom object detection model training through natural language interactions. It integrates foundation models like GroundedSAM for auto-labeling and supports training specialized YOLOv8 models using local or Unsplash images.

Gives AI agents eyes on in-memory image buffers in live gdb/lldb C/C++ debug sessions: list observable symbols at a breakpoint, view renderings, read exact pixel values, and dump lossless .npy copies. Agents can also drive the human's viewer window (pan, zoom, channels, auto-contrast).

Enables natural language interaction with complex computer vision workflows such as auto-labeling, class mapping, and embedding selection through an LLM-agnostic MCP orchestration layer.

Downloads TikTok videos, transcribes them, suggests subreddits and titles, and posts them as native Reddit videos with auto-comment for source links.

Enables MCP-capable agents to drive a full multi-track video editor, including frame-accurate labelled-gameplay workflows that attach recordings, describe labels, find ranked clip windows, build edits, and create auto-shorts using roughly 110 editing tools.