"Video content analysis and understanding for large language models" matching MCP servers:

An MCP server for content creation that extracts video transcripts, scrapes web articles, and performs web searches.

A Model Context Protocol server that downloads watermark-free videos from Douyin (TikTok China) share links, extracts audio, and transcribes speech to text using ASR APIs.

MCP server that turns video URLs into transcripts and important keyframes locally, with no cloud or API keys.

Enables automated video learning workflows by ingesting video URLs, managing remote GPU ASR transcription, pulling transcripts, generating digest summaries, and searching local notes via MCP tools.

An MCP server enabling video processing via natural language: transcription with Whisper, segment cutting with FFmpeg, and file management.

Enables link type detection, video downloading, metadata extraction, and transcript generation across 16+ platforms including YouTube, Bilibili, and WeChat Channels. Supports automatic subtitle extraction and optional Whisper speech-to-text for videos without captions.

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.

Enables MCP clients to run project-scoped video editing workflows: propose and approve editing strategies, apply validated plans, review immutable versions, and export final renders via FFmpeg, with durable persistence and approval gates.

Enables transcription of videos and audio from 1000+ platforms (YouTube, Bilibili, TikTok, etc.) using subtitle extraction first, then local Whisper transcription, with support for long videos, async tasks, and Chinese ASR optimization.

Transcribes videos from 1000+ platforms (YouTube, TikTok, Vimeo, etc.) and local video files using OpenAI's Whisper model, with support for 90+ languages and multiple output formats.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

Enables coding agents to watch and analyze videos by extracting scene-aware frames, transcribing speech, and generating shot timelines, all constrained by a token budget to fit LLM context limits.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

An MCP server that downloads videos/extracts audio from various platforms like YouTube, Bilibili, and TikTok, then transcribes them to text using OpenAI's Whisper model.

Enables high-performance, offline transcription of videos from 1000+ platforms and local files using whisper.cpp, with support for multiple model sizes, languages, and output formats over stdio or HTTP.

Enables video text extraction using multiple speech recognition providers including local Whisper, JianYing/CapCut, and Bilibili Cut services. Supports video downloading, audio extraction, and automatic speech-to-text transcription with configurable providers.

Multi-provider AI video, speech, music, and transcription MCP server enabling video generation, image-to-video, TTS, music creation, and speech-to-text via a unified interface.

Provides local audio analysis tools for LLMs, enabling transcription, conversation dynamics, prosody analysis, and visual inspection without API keys.

This MCP server enables local-first video subtitle processing on Windows, offering tools for transcription, subtitle formatting, SRT/ASS export, FFmpeg rendering, and Kdenlive project creation without cloud APIs.

Automated short-form video creation from text prompts, combining text-to-speech, captions, background videos, and music, exposed as an MCP server for AI agents.