"Y Combinator" matching MCP servers:

Fetches and cleans YouTube video transcripts using yt-dlp, with fallback from manual to auto-generated subtitles and deduplication.

Wraps yt-dlp to enable MCP-compatible clients to look up video metadata and download videos.

MCP server wrapping yt-dlp for downloading videos and audio from URLs, providing tools to check dependencies, retrieve video metadata, and perform downloads.

Enables video metadata extraction and downloading from platforms like TikTok and YouTube via yt-dlp, including direct MP4 links and local downloads with MP3 conversion.

Extracts clean text transcripts from YouTube videos using their subtitles and returns them as plain text.

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

An MCP server that extracts rich metadata (title, description, duration, chapters, subtitles, statistics, etc.) from media URLs across thousands of sites using yt-dlp, and also provides transcript fetching and search capabilities.

A video enhancement MCP server that supports creating tasks, querying status, and synchronously enhancing videos with URL or local file input.

Enables analysis of YouTube videos using the Gemini API to generate summaries and answer specific questions via direct URLs. It supports standard videos and shorts, allowing users to interact with video content without requiring manual downloads.

Connects AI agents to a creative platform's canvas, image, video, audio, subject, and storyboard capabilities, enabling natural-language parameter lookup, job submission and tracking, credit-controlled execution, and asset retrieval.

Enables MCP-compatible clients to download videos and streams from YouTube and 1000+ supported sites, extract audio, download subtitles, and capture live streams.

Enables video generation through OpenAI's Sora 2 API, allowing users to create, monitor, and manage AI-generated videos. It also provides tools for merging video clips and creating fade animations from static images using FFmpeg.

MCP server for Audionaut, a free, open-source multitrack audio editor for macOS, Windows and Linux. Agents can split and move clips, set gain, fades and crossfades, time-stretch, work with regions, run audio analysis and Auto Edit, separate stems and export. When the project is open in the app, each edit lands there as one undo step and the project file is never overwritten. Setup: npx -y audionau

MCP server for Veo 3.1 video generation models, enabling task creation (extend, text-to-video, upscale), status polling, and pricing checks via RunAPI.

Enables AI-powered YouTube video analysis including transcript management, video summaries, chapter generation, keyword extraction, and playback control. Supports searching videos, retrieving channel/playlist information, and translating transcripts using Google Gemini AI.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

A Model Context Protocol server that enables generating and editing images using OpenAI's gpt-image-1 model, allowing AI assistants to create and modify images from text prompts.

A focused MCP server for generating Seedance 2 videos via MuAPI. It provides tools for text-to-video, image-to-video, first-last-frame, and omni-reference generation, plus prediction polling and account balance.

该MCP服务器使AI助手（如Claude Code、Codex）能够通过桥接目录和CEP面板与Adobe Premiere Pro交互，支持素材扫描、编辑规划、粗剪执行等操作，强调先规划后执行和人工复核。

An MCP server that enables high-quality image generation using OpenAI's GPT-Image-1 model with support for style variations and HD quality. It automatically downloads and saves generated images to a local directory as PNG files while managing metadata and batch processing.

MCP server that gives text-only agents like Claude Code and Codex image, video, and audio analysis capabilities through local setup and multiple AI providers.

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 chat-driven video editing by letting an MCP host analyze raw clips and produce finished, beat-synced montages with matched music, subtitles, transitions, and picture-in-picture, all previewed as a timeline digest before rendering. It runs locally through agents such as Claude Code, Codex, Hermes, and OpenCode.

Enables users to turn raw video clips into finished, beat-synced montage cuts through natural-language chat, with the agent selecting shots, matching music, adding subtitles and transitions, and rendering the final video.

Enables an AI agent to ingest raw video clips, plan and edit a montage from natural-language prompts, and produce a rendered, beat-synced cut with matched music, subtitles, transitions, and picture-in-picture.

Enables users to turn raw clips into finished, beat-synced montage videos through natural-language chat, including shot selection, music matching, subtitles, transitions, and picture-in-picture. It lets agents analyze footage, plan and review cuts before rendering, and export final edits without a GPU or timeline editor.

Enables coding agents such as Claude Code, Codex, Hermes, and OpenCode to turn a folder of raw clips plus a plain-language brief into a finished, beat-synced montage, handling shot selection, music matching, subtitles, transitions, and rendering. Each turn returns a timeline digest and contact sheet so the cut can be reviewed before any frames are rendered.

A local MCP server that lets chat-based coding agents turn a folder of raw clips into finished, beat-synced montage videos by handling shot selection, music matching, subtitles, transitions, and rendering through natural language. It returns a timeline digest and contact sheet for approval before any frame is rendered.

Enables users to turn raw video clips into finished, beat-synced cuts through natural-language chat with compatible agents, handling shot selection, music matching, subtitles, transitions, and rendering while allowing review before export.

Enables Claude Code, Codex, Hermes, OpenCode, and other MCP hosts to turn natural-language prompts over raw video clips into finished, beat-synced montage edits with music matching, subtitles, transitions, and picture-in-picture, while returning reviewable timeline digests and contact sheets before rendering.

Turns a folder of raw clips plus a plain-language prompt into a finished, beat-synced montage, handling shot selection, music matching, subtitles, transitions, and picture-in-picture from within a chat agent. Returns a reviewable timeline digest and contact sheet before any frame is rendered.

A local MCP server that lets an AI coding agent turn a folder of raw clips into a finished, beat-synced montage from a plain-language brief. It handles clip analysis, shot selection, timeline planning, music matching, subtitles, transitions, and rendering, returning a reviewable timeline digest and contact sheet before any frame is exported.

Enables users to turn raw video clips into finished, beat-synced montages through natural-language chat, with automated shot selection, music matching, subtitles, transitions, and picture-in-picture. It returns reviewable timelines and contact sheets before rendering on approval.

Enables users to turn folders of raw clips into finished, beat-synced montage videos through natural-language chat, handling shot selection, pacing, music matching, subtitles, transitions, and rendering. It returns a readable timeline digest and contact sheet each turn so the cut can be reviewed and approved before anything is rendered.

A local MCP server that turns plain-language chat prompts about a folder of raw clips into finished, beat-synced montage videos — handling shot selection, music matching, subtitles, transitions, and picture-in-picture, and returning a reviewable timeline digest and contact sheet before anything renders. It works from Claude Code, Codex, Hermes Agent, or OpenCode, so editing happens entirely in chat with no timeline software or GPU.

Turns natural-language requests into finished, beat-synced montage videos by analyzing raw clips, selecting shots, matching and syncing music, adding subtitles, transitions, and picture-in-picture, then rendering a final cut for review and approval.

Enables AI coding agents to turn a folder of raw clips into a finished, beat-synced montage from a single natural-language prompt, handling shot selection, pacing, music matching, subtitles, transitions, and picture-in-picture. It returns a reviewable timeline digest and contact sheet for approval before rendering the final file.

Enables users to chat with compatible AI coding agents to turn raw clips into finished, beat-synced montage videos, handling shot selection, music matching, subtitles, transitions, picture-in-picture, and rendering after user approval.

Enables users to turn raw clips into finished, beat-synced montage videos through natural-language chat with an AI coding agent, handling shot selection, music matching, subtitles, transitions, picture-in-picture, and rendering. It also lets users review a timeline digest and contact sheet before rendering.

A local MCP server that turns natural-language chat in Claude Code, Codex, Hermes, or OpenCode into finished montage video edits. It analyzes uploaded raw clips, performs shot selection, beat-synced cuts, music matching, subtitles, transitions, and picture-in-picture, returning a reviewable timeline digest and contact sheet before rendering the final export.