"Registering the revanthlevaka/OpenYantra repository" matching MCP servers:

Enables AI agents to compress videos to target sizes, create GIFs, cut clips, and preview exact ffmpeg commands before execution, with safe subprocess handling, progress reporting, cancellation, and dry runs.

A self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.

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.

Enables management of local video datasets with directory browsing and direct upload capabilities to Hugging Face Hub repositories. Supports video file validation, batch uploads, and automated dataset repository creation with secure authentication.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Feedback ingestion for AI agents. Record your screen and talk; your agent does the rest — files the bugs, writes the spec, builds the backlog.

An MCP server enabling agents to generate videos via the vidhook render API, with tools to validate movie definitions, start renders, and check status.

Enables coding agents to turn explanations of code, pull requests, or concepts into narrated slide walkthroughs voiced locally with Kokoro, returning a link that starts playing in about a second while the remaining slides are still being written. Slides are grounded in real files and git history, checked for errors, and exportable as static folders with captions.

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.

Captions video and audio files on your computer with Cuecaps: animated word-by-word captions in 10 styles, exported as a burned-in MP4, a transparent MOV/WebM overlay for Premiere, Resolve or CapCut, or SRT/VTT subtitles. Rendering runs in local headless Chrome, so the video never uploads; captioning needs a Cuecaps Creator or Pro key.

Generates images, videos, music, and speech via the Chutes API, saving assets directly into the project workspace.

Enables AI agents to submit podcast URLs and retrieve clips, trailer, show notes, guest-share link, and transcript via the Clypt API.

Enables AI agents to generate JSON configurations for creating images and videos programmatically through the Jsoncut API, with support for layers, positioning, transitions, and validation.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

Atlas Cloud MCP Server enables developers to access state-of-the-art AI models for image generation, video generation, and LLMs through a unified MCP interface. Fast, scalable, and cost-efficient alternative to traditional AI providers.

A modular suite of MCP servers for Audiokinetic Wwise, enabling AI agents to browse, edit, audition, profile, and build Wwise projects through the Wwise Authoring API.

Educational MCP server that connects AI agents to the Canva Connect API, enabling design search, creation, and export through natural language.

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 Claude to drive Google Flow end-to-end: batch video generation on Veo 3 / Omni 1.1, scene chaining, keyframe transitions, video-to-video edits, and automatic downloads, all through a local bridge with the OmniFlow Chrome extension.

File conversion for AI agents: office docs to PDF, PDF to Word, document interchange (Markdown/HTML/EPUB/LaTeX), and audio/video transcodes via the hushvert hosted API. Tools: convert_file, convert_poll, list_formats, check_usage.

Enables AI assistants in MCP clients to turn long videos from YouTube, VK Video, RuTube, Dzen, Twitch, Yandex Disk, Google Drive or direct links into captioned vertical Shorts/Reels, transcripts and articles, returning links to the finished clips. It also exposes read-only modes and job quoting so clients can inspect sources and estimate credit usage before creating anything.

Enables users to convert video URLs into GIF images with customizable size, frame rate, time range, and looping, returning the GIF and a text summary to MCP clients.

Enables visually lossless batch compression of JPEG, PNG, WebP, AVIF, GIF, and SVG files, writing results to a temporary preview directory with size, encoder, and quality-score details. Originals are only replaced atomically after the user confirms, with configurable effort levels and optional backups.

An MCP server that gives Claude Code hands inside DaVinci Resolve Studio, enabling project management, status checks, snapshots, and arbitrary Python scripting via the Resolve API.

RelayGPU MCP gives AI agents access to 80+ open and closed AI models for text, image, video, audio and embeddings. Agents can discover models, check pricing, generate content and run workflows, with new models added to the catalogue regularly.

Enables image and video generation through the Magicly API using any MCP client. Supports listing models, generating media, and polling predictions.

FableCut is a Premiere-style non-linear video editor that runs entirely in your browser — and exposes its whole timeline as one JSON document. Edit it by hand, from the UI, or let an AI agent (Claude Code, Claude Desktop, or anything that speaks MCP/REST) cut your video for you while you watch the timeline update live.

Lets AI agents mark the images and audio they generate, as the EU AI Act's Article 50 requires: an invisible watermark (TrustMark for images, AudioSeal for audio) plus a signed C2PA manifest (Content Credentials), in one tool call. Tools: mark_file (writes .marked.png/.wav next to the original, optional visible "AI-generated" label), verify_file (watermark and C2PA signature check, by path o

Enables AI agents to cut YouTube clips programmatically via the AppsGolem API, supporting multiple formats, batch cuts, and direct download URLs.

MCP server for the HeyGen avatar video API. Provides tools to generate talking-avatar videos, including video creation, status checking, downloading, and listing avatars/voices.