"A guide for product selection" matching MCP servers:

Exposes Open Video Guide functions to MCP clients, enabling conversion of tutorial videos into illustrated, verifiable guides with timestamps, evidence, and review states.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Turns your AI host into a product videographer — scripted screen recordings of your own web app with a gliding cursor, camera zooms, highlight callouts, captions, and branded transitions, plus marketing-grade screenshots. Automatic dark-frame cleanup and MP4/GIF export. Free, MIT, 100% local — no account, no API keys.

Enables AI image generation and editing using Google's Nano Banana model via the AceDataCloud API. It supports creating images from text prompts, virtual try-ons, and product placement directly within MCP-compatible clients.

Enables MCP-capable AI models to write, validate, and render Manic animations using the Manic platform's authoring guide and API, without any AI generation credits.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables an assistant to watch a cooking video once and then guide a hands-free cook through it: importing videos into validated step-by-step guides, navigating steps, searching timestamped transcript and on-screen evidence, showing exact frames and clip replays, and setting persistent timers across restarts. Sessions, progress, and deadlines are stored so users can resume where they left off.

Enables an AI agent to drive a running Adobe After Effects, inspecting projects and editing comps, layers, effects, keyframes, text, masks, expressions, and rendered frames through natural language. It provides a small tool surface with dry-run validation and undo-grouped operations for safe autonomous use.

Enables intelligent multi-provider image generation through OpenAI and Google Gemini APIs with automatic provider selection, support for reference images, real-time data grounding, and conversational refinement.

Enables AI assistants to decode QR codes from images, with tools for scanning full images and enhancing blurry or reflective regions before decoding, plus quality diagnostics to guide retry strategies.

Enables MCP clients to operate local Adobe Premiere Pro projects, covering media ingest, bins, sequence and timeline editing, transitions, effects, keyframes, captions, markers, metadata, proxies, multicam, color, audio, and exports through 283 discoverable tools, 13 context resources, and 10 guided prompts. A bundled CEP panel provides the supported production bridge, with read-only connection verification and higher-level workflows for assembling product spots and motion-graphics demos.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

AI image generation with 6 Flux models (flux-dev, flux-pro, flux-kontext) including context-aware image editing, async task management, and built-in model guide.

Lets AI apps drive a Chrome tab to record product demo walkthroughs: the AI plans the flow, navigates, clicks and types with a smooth on-screen cursor, then stops so the recording opens in an editor. Everything runs locally over a paired, user-approved connection to the Recordful extension, with no hosting, account, or API key required.

Transforms DALL-E 3, DALL-E 2, and GPT-Image-1 into MCP-compatible tools for generating images from natural language descriptions, supporting batch creation, style control, and flexible sizing.

An MCP server that turns AI agents into product presenters, enabling them to record keynote-quality demo videos by controlling screen recording, mouse, Chrome, and narration.

Enables AI assistants to search, generate, and manipulate u-he synth presets through natural language, including browsing libraries, randomizing presets, and merging multiple presets.

Provides AI-powered image generation through Google's Gemini models (Flash and Pro) with intelligent model selection, aspect ratio control, and support for both direct Gemini API and CLIProxyAPI proxy routing.

Identify and remove AI provenance metadata (C2PA, EXIF, IPTC, XMP, TC260), visible AI-generator labels and supported invisible watermarks from images and video you generated yourself. Runs locally over stdio with uvx.

Your coding agent makes the demo video — turns a storyboard.json into a narrated, captioned product-demo MP4; deterministic replay re-renders it in CI at ~$0.