"Super User" matching MCP servers:

Enables AI agents to analyze images via user-configured cloud vision APIs (Gemini or OpenAI-compatible), returning structured results such as summaries, OCR text, and objects.

Enables AI agents to generate game-ready 3D assets from reference images with PBR textures, and to retexture meshes the user already owns, while recording full provenance for every generated file.

Creates narrated 9:16 documentary videos from user-described topics using Wikimedia images and AI voiceover, rendered entirely on your machine.

Provides five fail-closed MCP tools for validating reference images and sculpting plans, enabling user-owned procedural Three.js source creation through validated gates and grimoire lookups.

Enables AI tools to capture and process screenshots of a user's screen, allowing AI assistants to see and analyze what the user is looking at through a simple MCP interface.

An MCP server that visually reviews UI edit requests by comparing screenshots before and after edits, ensuring changes satisfy user requests.

Enables managing RunningHub workflows locally through Codex, including searching public models and prices, creating and validating workflow JSON, tracking projects, scenes, assets, and revisions in SQLite, and submitting single paid generation jobs with status polling, result download, and FFmpeg-generated previews. Requires explicit user confirmation before any paid run and prevents hidden automatic retries of uncertain submissions.

Provides comprehensive functionality including weather data, system utilities, Azure cloud management, and AI-powered image generation and editing. Features interactive parameter selection through MCP elicitation for enhanced user experience.

Enables LLMs to analyze images, videos, audio, and text files for AI-generated content using the Reality Defender API, with support for user file uploads and direct URL analysis.

Enables real-time screen monitoring, UI element analysis, and predictive user behavior learning for AI assistants.

Local MCP server for Gateway-managed computer use that exposes computer.* tools with desktop control, OCR, and user-visible safety overlays.

Classifies a user-selected image and returns a verdict of HOTDOG, NOT HOTDOG, or UNCERTAIN, using structured output that surfaces uncertainty and never mislabels an error as NOT HOTDOG. It is an entertainment-only tool and does not persist the images it processes.

Enables MCP clients to view the user's screen and draw click-through annotations, highlights, and numbered step indicators directly on the live desktop, while keeping the user in control of mouse and keyboard.

Enables AI agents to drive a desktop video editor through MCP, providing the same editing operations as the user — placing, trimming, rippling, grading, captioning, and exporting — on the actual project with local rendering.

An MCP server that gives text-only LLMs like DeepSeek vision capabilities by OCRing images, PDFs, Office documents, and text files into pure text. It provides tools like read_document and ocr_image to enable file analysis.

This MCP server enables image generation via Codex CLI and an OpenAI-compatible relay API, with job queue, status polling, and preview/download endpoints. It is a single-user local demo without authentication or persistence.

Local-first AI video editing engine controlled by MCP-compatible AI hosts, enabling AI to inspect footage, propose edits, modify multitrack projects, and render locally while keeping user control.

MCP server that converts user requests into deliberately poor drawing prompts, enabling ChatGPT to render intentionally shabby sketches instead of realistic images.

Enables automated visual testing by comparing screenshots against baseline images using OpenAI to verify UI consistency. It generates detailed performance reports in both terminal and Excel formats based on provided user stories and acceptance criteria.

MCP server that lets an LLM control an Axis network camera over VAPIX, including live streaming, PTZ, image settings, overlays, clock, light, user management, and a built-in RAG knowledge base of VAPIX docs.